Michael Pecht - Academia.edu (original) (raw)

Papers by Michael Pecht

Research paper thumbnail of Study on electronics recycling process

2009 16th International Conference on Industrial Engineering and Engineering Management, 2009

ABSTRACT The discarding of electronics is a growing problem around the world. This paper first an... more ABSTRACT The discarding of electronics is a growing problem around the world. This paper first analyzes the possible limitations in current electronics recycling models and methods through the review of the literature, and this paper then presents a study of the complete electronics recycling process based on electronics features. The five main stages in the recycling process are described: collection, product recovery, component recovery, material recovery, and energy recovery. During each recycling stage, the work involved, the advanced techniques may be used, and the tools conducting the work are detailed discussed. Finally this paper presents conclusions and recommendations for conducting effective and efficient electronics recycling.

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Research paper thumbnail of Anomaly detection of notebook computer based on Weibull decision metrics

2010 Prognostics and System Health Management Conference, 2010

ABSTRACT This paper presents a approach for anomaly detection of electronic products using the Ma... more ABSTRACT This paper presents a approach for anomaly detection of electronic products using the Mahalanobis Distance (MD) and Weibull distribution. The MD value is used as a health index, which has the advantage of both summarizing the multivariate operating parameters and reducing the data set into a univariate distance index. The Weibull distribution is used to determine health decision metrics, which are useful in characterizing distributions of MD values. Furthermore, a case study of the proposed notebook computer anomaly detection method is carried out. The experimental results show that the proposed method is valuable.

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Research paper thumbnail of Return on Investment of a LED lighting system

2011 Prognostics and System Health Managment Confernece, 2011

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Research paper thumbnail of A Bayesian Hidden Markov Model-based approach for anomaly detection in electronic systems

2013 IEEE Aerospace Conference, 2013

ABSTRACT Early detection of anomalies in any system or component prevents impending failures and ... more ABSTRACT Early detection of anomalies in any system or component prevents impending failures and enhances performance and availability. The complex architecture of electronics, the interdependency of component functionalities, and the miniaturization of most electronic systems make it difficult to detect and analyze anomalous behaviors. A Hidden Markov Model-based classification technique determines unobservable hidden behaviors of complex and remotely inaccessible electronic systems using observable signals. This paper presents a data-driven approach for anomaly detection in electronic systems based on a Bayesian Hidden Markov Model classification technique. The posterior parameters of the Hidden Markov Models are estimated using the conjugate prior method. An application of the developed Bayesian Hidden Markov Model-based anomaly detection approach is presented for detecting anomalous behavior in Insulated Gate Bipolar Transistors using experimental data. The detection results illustrate that the developed anomaly detection approach can help detect anomalous behaviors in electronic systems, which can help prevent system downtime and catastrophic failures.

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Research paper thumbnail of Characterization of a non‐woven randomly dispersed short fiber laminate

Circuit World, 1998

Abstract: Non-woven laminates have begun to gain recognition in the electronics industry because ... more Abstract: Non-woven laminates have begun to gain recognition in the electronics industry because they are generally thinner and flatter than woven laminates. This study characterizes the mechanical and thermo-mechanical properties of non-woven, randomly ...

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Research paper thumbnail of Mahalanobis Distance Approach for Insulated Gate Bipolar Transistors Diagnostics

Advanced Concurrent Engineering, 2010

Insulated gate bipolar transistors (IGBT) are used in critical application areas such as inverter... more Insulated gate bipolar transistors (IGBT) are used in critical application areas such as inverters in hybrid cars, motion control systems for variable speed motor drives and high power switch mode power supplies. In these critical applications, diagnostic approaches ...

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Research paper thumbnail of Precursor parameter identification for power supply prognostics and health management

2009 8th International Conference on Reliability, Maintainability and Safety, 2009

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Research paper thumbnail of Qualification for product development

2008 International Conference on Electronic Packaging Technology & High Density Packaging, 2008

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Research paper thumbnail of Reliability Integrated Engineering Using Physics of Failure

Encyclopedia of Quantitative Risk Analysis and Assessment, 2008

Reliability is the ability of a product to perform without failure and within specified performan... more Reliability is the ability of a product to perform without failure and within specified performance limits, for a specified time, in its life-cycle application conditions. The development of a reliable product is not a matter of chance or good fortune; rather, it is a ...

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Research paper thumbnail of Gear fault diagnosis using electrical signals and its application to wind power systems

2012 IEEE Conference on Prognostics and Health Management, 2012

ABSTRACT The objective of this paper is to investigate the detection of damage in electromechanic... more ABSTRACT The objective of this paper is to investigate the detection of damage in electromechanical equipment using the electrical output signals. This can help designers in eliminating sensor redundancy as well as being a non-invasive method and a remote monitoring approach. As an example, a coupled gearbox and generator model of a wind turbine system is created. A crack in a gear tooth is introduced and modeled as a reduction in gear tooth stiffness during the meshing of the gears. The simulation results show that the angular acceleration at the side bands of mesh frequency increases according to damage severity, which is as expected. However, the frequency spectrum of electrical torque shows distinct peaks due to the gear tooth crack. It is also shown that cracks in different gears can be detected at distinct frequencies, which shows the possibility of identifying the source of cracks, providing an opportunity for diagnostics.

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Research paper thumbnail of Electronic packaging and reliability education for the 21st century: the University of Maryland CALCE EPRC Program

1997 Proceedings 47th Electronic Components and Technology Conference, 1997

ABSTRACT In the 1980's, University of Maryland faculty began teaching courses on electron... more ABSTRACT In the 1980's, University of Maryland faculty began teaching courses on electronic packaging and wrote the first book on this topic. As a result of two subsequent ε grants under the U.S. Government Technology Re-investment Program, the Computer-Aided Life-Cycle Engineering (CALCE) Electronic Packaging Research Center (EPRC), an academic center of the University of Maryland, today provides a cross-disciplinary undergraduate and graduate curriculum on Electronic Packaging and Reliability (EPAR). Offered through the Mechanical Engineering Department, students from all engineering disciplines including Electrical Engineering, Materials Science and Reliability Engineering enroll in the program. The success of the EPAR graduate program is evidenced by the respect it has gained from the electronics industry. All graduates of this program have been keenly sought after, and have enjoyed excellent job opportunities. In the era of dwindling enrollments in many graduate engineering programs, the EPAR program has seen a consistent growth. The instructional methodologies employed in this curriculum development effort are described and can serve as models for other multi-disciplinary programs

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Research paper thumbnail of CALCE research opportunities at the University of Maryland

Proceedings. Seventh IEEE/CHMT International Electronic Manufacturing Technology Symposium, 1989

ABSTRACT The University of Maryland has initiated an integrated program in computer-aided life cy... more ABSTRACT The University of Maryland has initiated an integrated program in computer-aided life cycle engineering (CALCE) to assist the nation's industries in competitively meeting the foreign challenge both economically and technically. To meet current needs in electronic design, the University of Maryland established an Industry/University Cooperative Research Center whose research theme is to promote basic study in the application of advanced technologies to the engineering design of electronic equipment. The CALCE effort places special emphasis on development and optimization of those design techniques which lend themselves to intelligent manufacturing, reliability, and maintainability; multiparameter optimization, evaluation of materials, and structures in unique environments; and advanced modeling, simulation, and prediction for industrial applications. The history of this CALCE effort is reviewed, and the CALCE Center organization, facilities, and research are described

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Research paper thumbnail of Conductive filament formation failure in a printed circuit board

Circuit World, 1999

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Research paper thumbnail of Incremental learning approach for improved prediction

2013 IEEE Conference on Prognostics and Health Management (PHM), 2013

ABSTRACT Prognostics is the key function in prognostics and health management (PHM), which can pr... more ABSTRACT Prognostics is the key function in prognostics and health management (PHM), which can provide remaining useful life of systems in real-time so that timely maintenance plans can be scheduled to avoid system downtime and even catastrophic events. In system prognostics, fault degradation models are necessarily established to describe the fault evolution dynamics and used to extrapolate the future health conditions. However, it is very challenging to build an accurate fault degradation model considering the complex fault growth dynamics and numerous modeling uncertainties, such as unit to unit variation. Particularly, in data driven modeling methods, the variations of loading conditions, environments and usage patterns will influence greatly the fault modeling accuracy. Some research has been conducted to tackle this problem by utilizing real-time monitoring data to update the fault model in terms of model parameters and even model structures to accommodate these varying factors. But whenever new data are available, it becomes difficult to determine how to retain the prior learned model while also learning new fault degradation dynamics. That is, how to learn new knowledge without forgetting what was learned previously. In this paper, we develop a new model update and fusion method for prognostics by using incremental learning. A case study is given to validate the developed approach via the battery degradation data.

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Research paper thumbnail of A Physics‐of‐failure Design Philosophy Applied to Flip‐chip Bonds

Microelectronics International, 1995

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Research paper thumbnail of Comparison of statistical models for the lumen lifetime distribution of high power white LEDs

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Using the Part Datasheet

Pecht/Parts Selection, 2004

A large volume of part information is developed by the part manufacturer from conceptual design t... more A large volume of part information is developed by the part manufacturer from conceptual design through production, but not all of that information is published. The data-sheet is a “snapshot” of the part information that a manufacturer chooses to divulge.' From the part ...

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Research paper thumbnail of Detection of under-lubricated ball bearings using vibration signals

2013 IEEE Conference on Prognostics and Health Management (PHM), 2013

ABSTRACT Reduction in the lubricant level of a bearing will reduce the operating life of the bear... more ABSTRACT Reduction in the lubricant level of a bearing will reduce the operating life of the bearing. This condition is a concern in lightly loaded bearings, such as cooling fans in electronics applications, whose life is dependent on the service life of the lubricant. If these bearings are manufactured with a sub-optimal amount of lubricant, the degradation of lubricant as well as the wear processes in the bearing can be accelerated, thereby leading to early failures of the fans. Measurements were carried out on bearings containing varying amounts of grease, ranging from none to the nominal amount specified by the manufacturer. Features were extracted from vibration signals that were obtained using an accelerometer mounted on the cooling fan. Measurements were performed on fans operated at various temperatures and speeds. The changes observed in the vibration signals as a function of the operating speed and temperature were utilized to develop features which enable the classification of the bearings according to the amount of grease in the bearing. Finally, a classification method for the detection of under-lubricated bearings was developed using the dependence between the features, temperature, and operating speed. This method can be used as a rapid method for acceptance testing of bearings.

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Research paper thumbnail of Failure mechanisms of ball bearings under lightly loaded, non-accelerated usage conditions

Tribology International, 2015

ABSTRACT This paper identifies the failure mechanisms of ball bearings in low-power motors for el... more ABSTRACT This paper identifies the failure mechanisms of ball bearings in low-power motors for electronics cooling. This study contrasts with previous studies on bearing life in its precipitation of failures under lightly loaded, non-accelerated usage conditions that are more representative of electronics cooling applications. Life tests were conducted on bearings composed of steel balls, steel inner and outer races, and a glass-fiber reinforced polyamide cage. Failure analysis of the ball bearings indicated that lubricant loss, transfer film formation, and wear particle generation were the failure mechanisms. Severe wear was found in the glass-fiber reinforced polyamide cages after failure. Several features extracted from the acoustic emission signals were identified as indicators of bearing degradation.

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Research paper thumbnail of Physics-of-failure approach for fan PHM in electronics applications

2010 Prognostics and System Health Management Conference, 2010

Page 1. Physics-of-Failure Approach for Fan PHM in Electronics Applications Hyunseok OhI , Michae... more Page 1. Physics-of-Failure Approach for Fan PHM in Electronics Applications Hyunseok OhI , Michael H. Azarian', Michael Pecht'<, Clifford H. White3 , Richard C. Sohaney', and Edward Rherrr' I Center for Advanced Life Cycle ...

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Research paper thumbnail of Study on electronics recycling process

2009 16th International Conference on Industrial Engineering and Engineering Management, 2009

ABSTRACT The discarding of electronics is a growing problem around the world. This paper first an... more ABSTRACT The discarding of electronics is a growing problem around the world. This paper first analyzes the possible limitations in current electronics recycling models and methods through the review of the literature, and this paper then presents a study of the complete electronics recycling process based on electronics features. The five main stages in the recycling process are described: collection, product recovery, component recovery, material recovery, and energy recovery. During each recycling stage, the work involved, the advanced techniques may be used, and the tools conducting the work are detailed discussed. Finally this paper presents conclusions and recommendations for conducting effective and efficient electronics recycling.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Anomaly detection of notebook computer based on Weibull decision metrics

2010 Prognostics and System Health Management Conference, 2010

ABSTRACT This paper presents a approach for anomaly detection of electronic products using the Ma... more ABSTRACT This paper presents a approach for anomaly detection of electronic products using the Mahalanobis Distance (MD) and Weibull distribution. The MD value is used as a health index, which has the advantage of both summarizing the multivariate operating parameters and reducing the data set into a univariate distance index. The Weibull distribution is used to determine health decision metrics, which are useful in characterizing distributions of MD values. Furthermore, a case study of the proposed notebook computer anomaly detection method is carried out. The experimental results show that the proposed method is valuable.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Return on Investment of a LED lighting system

2011 Prognostics and System Health Managment Confernece, 2011

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Bayesian Hidden Markov Model-based approach for anomaly detection in electronic systems

2013 IEEE Aerospace Conference, 2013

ABSTRACT Early detection of anomalies in any system or component prevents impending failures and ... more ABSTRACT Early detection of anomalies in any system or component prevents impending failures and enhances performance and availability. The complex architecture of electronics, the interdependency of component functionalities, and the miniaturization of most electronic systems make it difficult to detect and analyze anomalous behaviors. A Hidden Markov Model-based classification technique determines unobservable hidden behaviors of complex and remotely inaccessible electronic systems using observable signals. This paper presents a data-driven approach for anomaly detection in electronic systems based on a Bayesian Hidden Markov Model classification technique. The posterior parameters of the Hidden Markov Models are estimated using the conjugate prior method. An application of the developed Bayesian Hidden Markov Model-based anomaly detection approach is presented for detecting anomalous behavior in Insulated Gate Bipolar Transistors using experimental data. The detection results illustrate that the developed anomaly detection approach can help detect anomalous behaviors in electronic systems, which can help prevent system downtime and catastrophic failures.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Characterization of a non‐woven randomly dispersed short fiber laminate

Circuit World, 1998

Abstract: Non-woven laminates have begun to gain recognition in the electronics industry because ... more Abstract: Non-woven laminates have begun to gain recognition in the electronics industry because they are generally thinner and flatter than woven laminates. This study characterizes the mechanical and thermo-mechanical properties of non-woven, randomly ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Mahalanobis Distance Approach for Insulated Gate Bipolar Transistors Diagnostics

Advanced Concurrent Engineering, 2010

Insulated gate bipolar transistors (IGBT) are used in critical application areas such as inverter... more Insulated gate bipolar transistors (IGBT) are used in critical application areas such as inverters in hybrid cars, motion control systems for variable speed motor drives and high power switch mode power supplies. In these critical applications, diagnostic approaches ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Precursor parameter identification for power supply prognostics and health management

2009 8th International Conference on Reliability, Maintainability and Safety, 2009

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Qualification for product development

2008 International Conference on Electronic Packaging Technology & High Density Packaging, 2008

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Reliability Integrated Engineering Using Physics of Failure

Encyclopedia of Quantitative Risk Analysis and Assessment, 2008

Reliability is the ability of a product to perform without failure and within specified performan... more Reliability is the ability of a product to perform without failure and within specified performance limits, for a specified time, in its life-cycle application conditions. The development of a reliable product is not a matter of chance or good fortune; rather, it is a ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Gear fault diagnosis using electrical signals and its application to wind power systems

2012 IEEE Conference on Prognostics and Health Management, 2012

ABSTRACT The objective of this paper is to investigate the detection of damage in electromechanic... more ABSTRACT The objective of this paper is to investigate the detection of damage in electromechanical equipment using the electrical output signals. This can help designers in eliminating sensor redundancy as well as being a non-invasive method and a remote monitoring approach. As an example, a coupled gearbox and generator model of a wind turbine system is created. A crack in a gear tooth is introduced and modeled as a reduction in gear tooth stiffness during the meshing of the gears. The simulation results show that the angular acceleration at the side bands of mesh frequency increases according to damage severity, which is as expected. However, the frequency spectrum of electrical torque shows distinct peaks due to the gear tooth crack. It is also shown that cracks in different gears can be detected at distinct frequencies, which shows the possibility of identifying the source of cracks, providing an opportunity for diagnostics.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Electronic packaging and reliability education for the 21st century: the University of Maryland CALCE EPRC Program

1997 Proceedings 47th Electronic Components and Technology Conference, 1997

ABSTRACT In the 1980&#39;s, University of Maryland faculty began teaching courses on electron... more ABSTRACT In the 1980&#39;s, University of Maryland faculty began teaching courses on electronic packaging and wrote the first book on this topic. As a result of two subsequent &amp;epsi; grants under the U.S. Government Technology Re-investment Program, the Computer-Aided Life-Cycle Engineering (CALCE) Electronic Packaging Research Center (EPRC), an academic center of the University of Maryland, today provides a cross-disciplinary undergraduate and graduate curriculum on Electronic Packaging and Reliability (EPAR). Offered through the Mechanical Engineering Department, students from all engineering disciplines including Electrical Engineering, Materials Science and Reliability Engineering enroll in the program. The success of the EPAR graduate program is evidenced by the respect it has gained from the electronics industry. All graduates of this program have been keenly sought after, and have enjoyed excellent job opportunities. In the era of dwindling enrollments in many graduate engineering programs, the EPAR program has seen a consistent growth. The instructional methodologies employed in this curriculum development effort are described and can serve as models for other multi-disciplinary programs

Bookmarks Related papers MentionsView impact

Research paper thumbnail of CALCE research opportunities at the University of Maryland

Proceedings. Seventh IEEE/CHMT International Electronic Manufacturing Technology Symposium, 1989

ABSTRACT The University of Maryland has initiated an integrated program in computer-aided life cy... more ABSTRACT The University of Maryland has initiated an integrated program in computer-aided life cycle engineering (CALCE) to assist the nation&#39;s industries in competitively meeting the foreign challenge both economically and technically. To meet current needs in electronic design, the University of Maryland established an Industry/University Cooperative Research Center whose research theme is to promote basic study in the application of advanced technologies to the engineering design of electronic equipment. The CALCE effort places special emphasis on development and optimization of those design techniques which lend themselves to intelligent manufacturing, reliability, and maintainability; multiparameter optimization, evaluation of materials, and structures in unique environments; and advanced modeling, simulation, and prediction for industrial applications. The history of this CALCE effort is reviewed, and the CALCE Center organization, facilities, and research are described

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Conductive filament formation failure in a printed circuit board

Circuit World, 1999

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Incremental learning approach for improved prediction

2013 IEEE Conference on Prognostics and Health Management (PHM), 2013

ABSTRACT Prognostics is the key function in prognostics and health management (PHM), which can pr... more ABSTRACT Prognostics is the key function in prognostics and health management (PHM), which can provide remaining useful life of systems in real-time so that timely maintenance plans can be scheduled to avoid system downtime and even catastrophic events. In system prognostics, fault degradation models are necessarily established to describe the fault evolution dynamics and used to extrapolate the future health conditions. However, it is very challenging to build an accurate fault degradation model considering the complex fault growth dynamics and numerous modeling uncertainties, such as unit to unit variation. Particularly, in data driven modeling methods, the variations of loading conditions, environments and usage patterns will influence greatly the fault modeling accuracy. Some research has been conducted to tackle this problem by utilizing real-time monitoring data to update the fault model in terms of model parameters and even model structures to accommodate these varying factors. But whenever new data are available, it becomes difficult to determine how to retain the prior learned model while also learning new fault degradation dynamics. That is, how to learn new knowledge without forgetting what was learned previously. In this paper, we develop a new model update and fusion method for prognostics by using incremental learning. A case study is given to validate the developed approach via the battery degradation data.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Physics‐of‐failure Design Philosophy Applied to Flip‐chip Bonds

Microelectronics International, 1995

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Comparison of statistical models for the lumen lifetime distribution of high power white LEDs

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Using the Part Datasheet

Pecht/Parts Selection, 2004

A large volume of part information is developed by the part manufacturer from conceptual design t... more A large volume of part information is developed by the part manufacturer from conceptual design through production, but not all of that information is published. The data-sheet is a “snapshot” of the part information that a manufacturer chooses to divulge.&#x27; From the part ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Detection of under-lubricated ball bearings using vibration signals

2013 IEEE Conference on Prognostics and Health Management (PHM), 2013

ABSTRACT Reduction in the lubricant level of a bearing will reduce the operating life of the bear... more ABSTRACT Reduction in the lubricant level of a bearing will reduce the operating life of the bearing. This condition is a concern in lightly loaded bearings, such as cooling fans in electronics applications, whose life is dependent on the service life of the lubricant. If these bearings are manufactured with a sub-optimal amount of lubricant, the degradation of lubricant as well as the wear processes in the bearing can be accelerated, thereby leading to early failures of the fans. Measurements were carried out on bearings containing varying amounts of grease, ranging from none to the nominal amount specified by the manufacturer. Features were extracted from vibration signals that were obtained using an accelerometer mounted on the cooling fan. Measurements were performed on fans operated at various temperatures and speeds. The changes observed in the vibration signals as a function of the operating speed and temperature were utilized to develop features which enable the classification of the bearings according to the amount of grease in the bearing. Finally, a classification method for the detection of under-lubricated bearings was developed using the dependence between the features, temperature, and operating speed. This method can be used as a rapid method for acceptance testing of bearings.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Failure mechanisms of ball bearings under lightly loaded, non-accelerated usage conditions

Tribology International, 2015

ABSTRACT This paper identifies the failure mechanisms of ball bearings in low-power motors for el... more ABSTRACT This paper identifies the failure mechanisms of ball bearings in low-power motors for electronics cooling. This study contrasts with previous studies on bearing life in its precipitation of failures under lightly loaded, non-accelerated usage conditions that are more representative of electronics cooling applications. Life tests were conducted on bearings composed of steel balls, steel inner and outer races, and a glass-fiber reinforced polyamide cage. Failure analysis of the ball bearings indicated that lubricant loss, transfer film formation, and wear particle generation were the failure mechanisms. Severe wear was found in the glass-fiber reinforced polyamide cages after failure. Several features extracted from the acoustic emission signals were identified as indicators of bearing degradation.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Physics-of-failure approach for fan PHM in electronics applications

2010 Prognostics and System Health Management Conference, 2010

Page 1. Physics-of-Failure Approach for Fan PHM in Electronics Applications Hyunseok OhI , Michae... more Page 1. Physics-of-Failure Approach for Fan PHM in Electronics Applications Hyunseok OhI , Michael H. Azarian', Michael Pecht'<, Clifford H. White3 , Richard C. Sohaney', and Edward Rherrr' I Center for Advanced Life Cycle ...

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