E. Cabal-yepez - Academia.edu (original) (raw)

Papers by E. Cabal-yepez

Research paper thumbnail of Harmonic component estimation through DFSWT for active power filter applications

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013

ABSTRACT Nowadays, power quality monitoring is a very important subject. The growing utilization ... more ABSTRACT Nowadays, power quality monitoring is a very important subject. The growing utilization of nonlinear loads such as rectifiers considerably distorts the shape of current and voltage signals affecting the power quality of the grid. Therefore, harmonic estimation and compensation are important tasks for improving power quality indexes in electric systems. In this work, the feasibility of using the discrete Fourier square-wave transform (DFSWT) as a fast processing engine, with low power consumption, for online harmonic component estimation is assessed. From obtained results, the current harmonic components demanded by the nonlinear loads were properly identified through DFSWT and compensated utilizing a shunt active power filter (S-APF) in all treated cases, obtaining a well-shaped sinusoidal current signal in the grid front-end.

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Research paper thumbnail of Little HTTP Server on Embedded MicroBlaze Processor

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Research paper thumbnail of Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy

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Research paper thumbnail of Special issue on image and video processing

Computers & Electrical Engineering, 2014

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Research paper thumbnail of Comparative analysis of PBG and PhDOS maps for precise design of the photonic crystal devices

In the work, there was carried out the comparative study of the performance and efficiency of two... more In the work, there was carried out the comparative study of the performance and efficiency of two methods of the design of photonic crystal-devices.

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Research paper thumbnail of Startup current analysis of incipient broken rotor bar in induction motors using high-resolution spectral analysis

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (hmirandav@uaslp. mx ..... more ... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (hmirandav@uaslp. mx ... Arturo Garcia-Perez, Member, IEEE, Rene J. Romero-Troncoso, Member, IEEE, Eduardo Cabal-Yepez, Member, IEEE, Roque A. Osornio-Rios, Member ... [14] SH Kia, H. Henao, and G ...

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Research paper thumbnail of Novel methodology for improving performance of sensorless speed observers in induction motors at variable load conditions

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012

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Research paper thumbnail of Real-time emulator of an induction motor: FPGA-based implementation

2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012

ABSTRACT This paper presents an educational tool based on a novel approach to develop an FPGA-bas... more ABSTRACT This paper presents an educational tool based on a novel approach to develop an FPGA-based real-time emulator of an induction motor using the dynamic model. The method exploits the parallelism and high speed characteristics of the FPGA. Different fixed-point representation of the external and internal signal is used. The emulator architecture is presented as well as peripheral units implemented along with the main unit. The real-time emulator is evaluated by experimentation under start-up and varaible load torque conditions. This emulator is the based to implement algorithms like speed and flux estimators, i. e. Extended Kalman Filter, Luenberguer-like observer, etc., and several control schemes like Direct Torque Control, Field-Oriented Control, etc. for induction motors.

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Research paper thumbnail of Early Experiences with OpenCL on FPGAs: Convolution Case Study

2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

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Research paper thumbnail of Reconfigurable FPGA-Based Unit for Singular Value Decomposition of Large m x n Matrices

2011 International Conference on Reconfigurable Computing and FPGAs, 2011

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Research paper thumbnail of Real-time condition monitoring on VSD-fed induction motors through statistical analysis and synchronous speed observation

International Transactions on Electrical Energy Systems, 2014

ABSTRACT Induction motors are key elements of every industrial process. A faulty motor produces i... more ABSTRACT Induction motors are key elements of every industrial process. A faulty motor produces interruptions on production lines, with consequences in cost, product quality, and safety. The relevance in induction motor monitoring is the ability to detect faults in incipient state. Many proposed methods consider direct connection of motors to the power supply; however, the common practice in industry is to connect them through variable speed drives (VSD), which introduce harmonics into the current supply signal that make the fault identification extremely difficult. This work proposes a statistical analysis through mean, variance, and information entropy computation, combined with sensorless rotating speed estimation for classifying different faults in induction motors using an artificial neural network. The proposed methodology examines the voltage and current signals provided by an industrial VSD that ensures a high certainty on identifying the treated faults at different rotational speed. A field programmable gate array-based implementation is developed to offer an online, system-on-chip solution for real-time condition monitoring. Copyright © 2014 John Wiley & Sons, Ltd.

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Research paper thumbnail of Smart sensor for electrical machine monitoring through statistical analysis

2012 XXth International Conference on Electrical Machines, 2012

ABSTRACT These days monitoring systems for electrical machines require high-performance instrumen... more ABSTRACT These days monitoring systems for electrical machines require high-performance instrumentation, low-cost primary sensors, and characteristics of online signal processing. Smart sensors are an approach to increase performance and overcome costs in monitoring systems. This work presents preliminary results on the implementation of a smart sensor for electrical machine monitoring integrated as a low-cost SoC. The proposed smart sensor is based on a reconfigurable hardware architecture implemented into a field programmable gate array. It extracts statistics like mean, variance, information entropy, and the distribution histogram from the acquired signal. It can work as a standalone system, showing obtained results on a VGA screen or LCD, or streaming out obtained results for further processing. Two study cases demonstrate its effectiveness during electrical machine monitoring: Detection of time-dependent harmonic effects on the voltage signal provided by a VSD. Identification of broken bars and unbalance in induction motors.

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Research paper thumbnail of Multiple fault detection through information entropy analysis in ASD-fed induction motors

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (ralvarez@uaslp.mx). ..... more ... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (ralvarez@uaslp.mx). ...Eduardo Cabal-Yepez, Member, IEEE, Rene J. Romero-Troncoso, Member, IEEE, Arturo Garcia-Perez, Member, IEEE, Roque A. Osornio-Rios, Member ... [5] SH Kia, H. Henao, and G ...

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Research paper thumbnail of Reconfigurable instrument for power quality monitoring in 3-phase power systems

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... and diagnostic techniques for electric machines and power electronic converters and DSP appli... more ... and diagnostic techniques for electric machines and power electronic converters and DSP applications. He is member of the IEEE, SIAM and the IET. David Granados-Lieberman received his B.Eng. and M.Eng. degrees from the University of Guanajuato, Guanajuato, Mexico. ...

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Research paper thumbnail of Induction motor model validation using fast fourier transform and wavelet tools

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT This paper presents a comparative validation for electric stator and rotor faults throug... more ABSTRACT This paper presents a comparative validation for electric stator and rotor faults through an induction-motor modeling utilizing Park Instantaneous Space Phasor (ISP) during stator current analysis and fast Fourier Transform (FFT2) to identify the fault spectrum and the band spectral density of wavelet coefficients using multi-resolution analysis (MRA). The spectral analysis identifies the fault signature modifying the sample frequency in the data acquisition system. The wavelet analysis maintains a constant sample frequency using MRA, which provides redundant information to identify the faults. Furthermore, the MRA analysis of ISP stator currents helps to identify small incipient faults choosing a threshold between the healthy and faulty machine. The cases considered are stator and rotor electric faults, which are modeled by means of parametric variations. In Spite of its simplicity, the model provides useful information for fault identification.

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Research paper thumbnail of FPGA-Based Smart Sensor for Online Displacement Measurements Using a Heterodyne Interferometer

Sensors, 2011

The measurement of small displacements on the nanometric scale demands metrological systems of hi... more The measurement of small displacements on the nanometric scale demands metrological systems of high accuracy and precision. In this context, interferometer-based displacement measurements have become the main tools used for traceable dimensional metrology. The different industrial applications in which small displacement measurements are employed requires the use of online measurements, high speed processes, open architecture control systems, as well as good adaptability to specific process conditions. The main contribution of this work is the development of a smart sensor for large displacement measurement based on phase measurement which achieves high accuracy and resolution, designed to be used with a commercial heterodyne interferometer. The system is based on a low-cost Field Programmable Gate Array (FPGA) allowing the integration of several functions in a single portable device. This system is optimal for high speed applications where online measurement is needed and the reconfigurability feature allows the addition of different modules for error compensation, as might be required by a specific application.

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Research paper thumbnail of Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications

Sensors, 2009

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Research paper thumbnail of A Real-Time Smart Sensor for High-Resolution Frequency Estimation in Power Systems

Sensors, 2009

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Research paper thumbnail of FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors

Mechanical Systems and Signal Processing, 2012

ABSTRACT For industry, a faulty induction motor signifies production reduction and cost increase.... more ABSTRACT For industry, a faulty induction motor signifies production reduction and cost increase. Real-world induction motors can have one or more faults present at the same time that can mislead to a wrong decision about its operational condition. The detection of multiple combined faults is a demanding task, difficult to accomplish even with computing intensive techniques. This work introduces information entropy and artificial neural networks for detecting multiple combined faults by analyzing the 3-axis startup vibration signals of the rotating machine. A field programmable gate array implementation is developed for automatic online detection of single and combined faults in real time.

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Research paper thumbnail of Sensorless jerk monitoring using an adaptive antisymmetric high-order FIR filter

Mechanical Systems and Signal Processing, 2009

... Luis Morales-Velazquez a , Corresponding Author Contact Information , E-mail The Correspondin... more ... Luis Morales-Velazquez a , Corresponding Author Contact Information , E-mail The Corresponding Author , E-mail The Corresponding Author , Rene de Jesus Romero-Troncoso a , b , Roque Alfredo Osornio-Rios a and Eduardo Cabal-Yepez b. ...

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Research paper thumbnail of Harmonic component estimation through DFSWT for active power filter applications

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013

ABSTRACT Nowadays, power quality monitoring is a very important subject. The growing utilization ... more ABSTRACT Nowadays, power quality monitoring is a very important subject. The growing utilization of nonlinear loads such as rectifiers considerably distorts the shape of current and voltage signals affecting the power quality of the grid. Therefore, harmonic estimation and compensation are important tasks for improving power quality indexes in electric systems. In this work, the feasibility of using the discrete Fourier square-wave transform (DFSWT) as a fast processing engine, with low power consumption, for online harmonic component estimation is assessed. From obtained results, the current harmonic components demanded by the nonlinear loads were properly identified through DFSWT and compensated utilizing a shunt active power filter (S-APF) in all treated cases, obtaining a well-shaped sinusoidal current signal in the grid front-end.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Little HTTP Server on Embedded MicroBlaze Processor

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Special issue on image and video processing

Computers & Electrical Engineering, 2014

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Comparative analysis of PBG and PhDOS maps for precise design of the photonic crystal devices

In the work, there was carried out the comparative study of the performance and efficiency of two... more In the work, there was carried out the comparative study of the performance and efficiency of two methods of the design of photonic crystal-devices.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Startup current analysis of incipient broken rotor bar in induction motors using high-resolution spectral analysis

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (hmirandav@uaslp. mx ..... more ... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (hmirandav@uaslp. mx ... Arturo Garcia-Perez, Member, IEEE, Rene J. Romero-Troncoso, Member, IEEE, Eduardo Cabal-Yepez, Member, IEEE, Roque A. Osornio-Rios, Member ... [14] SH Kia, H. Henao, and G ...

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Research paper thumbnail of Novel methodology for improving performance of sensorless speed observers in induction motors at variable load conditions

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Real-time emulator of an induction motor: FPGA-based implementation

2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012

ABSTRACT This paper presents an educational tool based on a novel approach to develop an FPGA-bas... more ABSTRACT This paper presents an educational tool based on a novel approach to develop an FPGA-based real-time emulator of an induction motor using the dynamic model. The method exploits the parallelism and high speed characteristics of the FPGA. Different fixed-point representation of the external and internal signal is used. The emulator architecture is presented as well as peripheral units implemented along with the main unit. The real-time emulator is evaluated by experimentation under start-up and varaible load torque conditions. This emulator is the based to implement algorithms like speed and flux estimators, i. e. Extended Kalman Filter, Luenberguer-like observer, etc., and several control schemes like Direct Torque Control, Field-Oriented Control, etc. for induction motors.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Early Experiences with OpenCL on FPGAs: Convolution Case Study

2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Reconfigurable FPGA-Based Unit for Singular Value Decomposition of Large m x n Matrices

2011 International Conference on Reconfigurable Computing and FPGAs, 2011

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Real-time condition monitoring on VSD-fed induction motors through statistical analysis and synchronous speed observation

International Transactions on Electrical Energy Systems, 2014

ABSTRACT Induction motors are key elements of every industrial process. A faulty motor produces i... more ABSTRACT Induction motors are key elements of every industrial process. A faulty motor produces interruptions on production lines, with consequences in cost, product quality, and safety. The relevance in induction motor monitoring is the ability to detect faults in incipient state. Many proposed methods consider direct connection of motors to the power supply; however, the common practice in industry is to connect them through variable speed drives (VSD), which introduce harmonics into the current supply signal that make the fault identification extremely difficult. This work proposes a statistical analysis through mean, variance, and information entropy computation, combined with sensorless rotating speed estimation for classifying different faults in induction motors using an artificial neural network. The proposed methodology examines the voltage and current signals provided by an industrial VSD that ensures a high certainty on identifying the treated faults at different rotational speed. A field programmable gate array-based implementation is developed to offer an online, system-on-chip solution for real-time condition monitoring. Copyright © 2014 John Wiley & Sons, Ltd.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Smart sensor for electrical machine monitoring through statistical analysis

2012 XXth International Conference on Electrical Machines, 2012

ABSTRACT These days monitoring systems for electrical machines require high-performance instrumen... more ABSTRACT These days monitoring systems for electrical machines require high-performance instrumentation, low-cost primary sensors, and characteristics of online signal processing. Smart sensors are an approach to increase performance and overcome costs in monitoring systems. This work presents preliminary results on the implementation of a smart sensor for electrical machine monitoring integrated as a low-cost SoC. The proposed smart sensor is based on a reconfigurable hardware architecture implemented into a field programmable gate array. It extracts statistics like mean, variance, information entropy, and the distribution histogram from the acquired signal. It can work as a standalone system, showing obtained results on a VGA screen or LCD, or streaming out obtained results for further processing. Two study cases demonstrate its effectiveness during electrical machine monitoring: Detection of time-dependent harmonic effects on the voltage signal provided by a VSD. Identification of broken bars and unbalance in induction motors.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multiple fault detection through information entropy analysis in ASD-fed induction motors

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (ralvarez@uaslp.mx). ..... more ... Manuel Nava 8, Zona Universitaria, 78290 San Luis Potosi, SLP, Mexico (ralvarez@uaslp.mx). ...Eduardo Cabal-Yepez, Member, IEEE, Rene J. Romero-Troncoso, Member, IEEE, Arturo Garcia-Perez, Member, IEEE, Roque A. Osornio-Rios, Member ... [5] SH Kia, H. Henao, and G ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Reconfigurable instrument for power quality monitoring in 3-phase power systems

8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 2011

... and diagnostic techniques for electric machines and power electronic converters and DSP appli... more ... and diagnostic techniques for electric machines and power electronic converters and DSP applications. He is member of the IEEE, SIAM and the IET. David Granados-Lieberman received his B.Eng. and M.Eng. degrees from the University of Guanajuato, Guanajuato, Mexico. ...

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Research paper thumbnail of Induction motor model validation using fast fourier transform and wavelet tools

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT This paper presents a comparative validation for electric stator and rotor faults throug... more ABSTRACT This paper presents a comparative validation for electric stator and rotor faults through an induction-motor modeling utilizing Park Instantaneous Space Phasor (ISP) during stator current analysis and fast Fourier Transform (FFT2) to identify the fault spectrum and the band spectral density of wavelet coefficients using multi-resolution analysis (MRA). The spectral analysis identifies the fault signature modifying the sample frequency in the data acquisition system. The wavelet analysis maintains a constant sample frequency using MRA, which provides redundant information to identify the faults. Furthermore, the MRA analysis of ISP stator currents helps to identify small incipient faults choosing a threshold between the healthy and faulty machine. The cases considered are stator and rotor electric faults, which are modeled by means of parametric variations. In Spite of its simplicity, the model provides useful information for fault identification.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of FPGA-Based Smart Sensor for Online Displacement Measurements Using a Heterodyne Interferometer

Sensors, 2011

The measurement of small displacements on the nanometric scale demands metrological systems of hi... more The measurement of small displacements on the nanometric scale demands metrological systems of high accuracy and precision. In this context, interferometer-based displacement measurements have become the main tools used for traceable dimensional metrology. The different industrial applications in which small displacement measurements are employed requires the use of online measurements, high speed processes, open architecture control systems, as well as good adaptability to specific process conditions. The main contribution of this work is the development of a smart sensor for large displacement measurement based on phase measurement which achieves high accuracy and resolution, designed to be used with a commercial heterodyne interferometer. The system is based on a low-cost Field Programmable Gate Array (FPGA) allowing the integration of several functions in a single portable device. This system is optimal for high speed applications where online measurement is needed and the reconfigurability feature allows the addition of different modules for error compensation, as might be required by a specific application.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications

Sensors, 2009

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Real-Time Smart Sensor for High-Resolution Frequency Estimation in Power Systems

Sensors, 2009

Bookmarks Related papers MentionsView impact

Research paper thumbnail of FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors

Mechanical Systems and Signal Processing, 2012

ABSTRACT For industry, a faulty induction motor signifies production reduction and cost increase.... more ABSTRACT For industry, a faulty induction motor signifies production reduction and cost increase. Real-world induction motors can have one or more faults present at the same time that can mislead to a wrong decision about its operational condition. The detection of multiple combined faults is a demanding task, difficult to accomplish even with computing intensive techniques. This work introduces information entropy and artificial neural networks for detecting multiple combined faults by analyzing the 3-axis startup vibration signals of the rotating machine. A field programmable gate array implementation is developed for automatic online detection of single and combined faults in real time.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Sensorless jerk monitoring using an adaptive antisymmetric high-order FIR filter

Mechanical Systems and Signal Processing, 2009

... Luis Morales-Velazquez a , Corresponding Author Contact Information , E-mail The Correspondin... more ... Luis Morales-Velazquez a , Corresponding Author Contact Information , E-mail The Corresponding Author , E-mail The Corresponding Author , Rene de Jesus Romero-Troncoso a , b , Roque Alfredo Osornio-Rios a and Eduardo Cabal-Yepez b. ...

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