LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (original) (raw)
Physics-of-failure: an approach to reliable product development
IEEE 1995 International Integrated Reliability Workshop. Final Report
Absfract -Reliability assessments based on physics-of-failure methods incorporate reliability into the design process to prevent parts from failing in service. An understandmg of the physics-of-failure is necessary in applications which afford little opportunity for testing, or for reliability growth. This paper presents an overview of physics-offailure and a case study of the application of physics-of-failure to a specific failure mechanism called conductive filament formation.
Reliability engineering and system safety
Reliability Engineering & System Safety, 1988
Reliability Engineering and System Safety is an international journal devoted to the development and application of methods for the enhancement of the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities and space systems. An important aim is to achieve a balance between academic material and practical applications. The following topics are within the scope of the journal:
Handbook of Reliability Engineering
In today's technological world nearly everyone depends upon the continued functioning of a wide array of complex machinery and equipment for our everyday safety, security, mobility and economic welfare. We expect our electric appliances, lights, hospital monitoring control, next-generation aircraft, nuclear power plants, data exchange systems, and aerospace applications, to function whenever we need them. When they fail, the results can be catastrophic, injury or even loss of life. As our society grows in complexity, so do the critical reliability challenges and problems that must be solved. The area of reliability engineering currently received a tremendous attention from numerous researchers and practitioners as well. This Handbook of Reliability Engineering, altogether 35 chapters, aims to provide a comprehensive state-of-the-art reference volume that covers both fundamental and theoretical work in the areas of
Reliability specifications in engineering design: A survey
1985
This paper presents an extensive up-to-date list of selective literature on reliability specifications for the design and development of engineering systems. INTRODUCTION: Reliability design specification forms an integral part of the design process right from the beginning of the design stages to ensure good operation and maintenance of the equipment. A clear and adequate reliability design
Methodology for physics and engineering of reliable products
Wescon/96, 1996
Physics of failure approaches have gained wide spread acceptance by most within tile Electronic Rcdiability Community. These methodologies involve identifying root cause failure mechanisms, developing associated models, and utilizing these models to improve time to market, lower development and build costs and higher reliability. The methodology outlined herein sets forth a process, based on integration of both physics and engineering principles, for achieving the same goals. 1" he proposed methodology is consistent with a "pure" physics of failure methodology, but it has ttle distinct advantage of not being "dead-in-the-water" if failure physics models do not exist. It also goes a long way to overcoming the age old axiom that "typically the things that fail are not the things that were analyzed, evaluated, etc. but rather the things that were assumed to not to be a problem". It outlines a methodology for integrating all available data, at various data cluality levels, to make the best possible decisions, l"he key components are: 1) existing physics and engineering models, 2) utilizing a problen]/failure reporting system and other data sources to identify "tall poles" and t}leir root cause for current designs and process and 3) new technology evaluations based on failure physics assessments.
Incorporation of Reliability Management in the Design Process
2005
This paper describes a life cycle product reliability management process to facilitate decisions made during the design process. Furthermore it shows the necessity of the incorporation of reliability management in the design process while developing a new design that can achieve the expected lifetime with high quality and less failures. The reliability management process contains qualitative and quantitative reliability methods based on warranty data, test data, condition monitoring and engineering judgement which will be fused to a closed loop failure analysis system. Qualitative reliability methods such as the Failure Mode and Effects Analysis (FMEA) help to identify the critical components in the early stages of product conceptualization and design. The critical components of the system will be analyzed more detailed over their lifetime using different quantitative methods. Concluding, all lessons learned throughout the reliability management process will be placed in the analysis tools used in product development.
IEEE Reliablity Magazine, 2025
Reliability is what separates an “engineered” item from one that is simply “made” or “designed.” It generally requires some form of life prediction under specified conditions to establish a baseline, and then, the performance is compared to the baseline. Verification, validation, and uncertainty quantification (VVUQ) has long been part of engineering development, particularly for novel projects that precede the development of engineering design codes and standards or have significant risks, such as medical devices. The use of engineering simulations also requires VVUQ, with the amount of VVUQ being also relative to the risk and whether it is applied within existing engineering standards or not. Establishing reliability is not only due diligence for the design process but it is also needed by forensic engineers and other expert witnesses to ensure that their processes, particularly in using simulations, have the due diligence to prevent “garbage in/garbage out.” Looking forward, using VVUQ techniques with engineering simulations provides the framework for future use of VVUQ for artificial intelligence (AI) and machine learning (ML) in a legal context to demonstrate that the specific application is a reliable process, applied in an appropriate and reliable manner, and closes the gap between the numerical processes and the specifics of the case in question.
Product Reliability Achievement at the Design Phase (Invited Paper)
IFAC Proceedings Volumes, 2000
In today's increasingly competltlve markets, leading engineering organizations need to capitalize on every available opportunity to increase the quality of their products while reducing the length of the development cycle and manufacturing costs. This paper presents an integral approach for the reliability validation process of a product in the automotive industry. The stress/strength concepts are applied to estimate and validate the product reliability in which case both stress and strength are random occurring parameters within the reliability validation process. The simulation approach using vinual prototypes is presented as well.
PHM Society European Conference, 2016
Quantifying accurate reliability at (sub-)system level is not an easy task. Despite the availability of different tools allowing reliability estimation, e.g. reliability handbooks as MIL217-F, the accuracy of the obtained results is not guaranteed. For instance, the data used in these handbooks are outdated, referring to old technologies and assuming stresses that are not always realistic. Other methods exist which should allow a more accurate reliability estimation e.g. the physics of failure prognostics. However, for an industrial end user, following such an approach at (sub) system level is too expensive. Typical steps to obtain reliability data of one component following physics of failure prognostic approach would require (i) understanding a given failure mechanism and developing its corresponding physics of failure model, (ii) identifying stress accelerators of this failure mechanism, and (iii) planning and implementing an accelerated life test to collect failure data in order to validate the model. A typical accelerated life test would require failures of components collected during the test time (in the order of months) at different stress levels. Another approach to get more accurate reliability at (sub-)system level is collecting and analyzing field data. However, this would require a complete process within an organization, by tracking the products in the field and collecting failure information for many years. In order to overcome these limitations for companies, we propose a methodology allowing to obtain quick and accurate estimations of the (sub-) system reliability by combining component's reliability information from different sources, e.g. using physics-of-failure models for some critical components where test data are historically available, and / or using reliability prediction handbook for proven in use components, and / or using field data if available.