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[null,null,"Titolo",null,"Reliability and physics-of-healthy in mechatronics / / edited by Abdelkhalak El Hami, David Delaux, Henri Grzesowiak"]
[null,null,"Pubbl/distr/stampa",null,"London, England ; ; Hoboken, New Jersey : , : ISTE, Ltd. : , : John Wiley & Sons, Incorporated, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"1-394-18606-1"]
[{"$nulls":4},"1-394-18604-5"]
[null,null,"Edizione",null,"[[First edition].]"]
[null,null,"Descrizione fisica",null,"1 online resource (323 pages)"]
[null,null,"Collana",null,"Reliability of multiphysical systems set ; ; volume 15"]
[null,null,"Disciplina",null,"629.8"]
[null,null,"Soggetti",null,"Reliability (Engineering)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Cover -- Title Page -- Copyright Page -- Contents -- Preface -- List of Acronyms -- Part 1. Entropy and Physics-of-Healthy: Some Concepts to Model Predictive Reliability of Microelectronics for Automotive, Aeronautic and Space Missions -- Introduction to Part 1 -- Chapter 1. Basic Reliability Tools for SHM Protocols -- 1.1. Introduction -- 1.2. State-of-the-art reliability in DSM and GaN technologies and Physics-of-Healthy: thermodynamics -- 1.2.1. COTS and emerging technologies in deep-sub-micron technologies: short overview -- 1.3. General overview on GaN device failure mechanisms -- 1.4. Physical reliability models applied to DSM technology -- 1.4.1. Precautions associated with accelerated testing -- 1.5. Reliability and probability mathematics -- 1.5.1. Exponential distribution summary -- 1.5.2. Normal distribution summary -- 1.5.3. Weibull distribution summary -- 1.5.4. Lognormal distribution summary -- 1.6. The Sedyakin principle -- 1.7. System reliability -- 1.7.1. Series systems -- 1.7.2. Parallel systems -- 1.7.3. Complex systems -- 1.8. Conclusion and future prospects -- 1.9. References -- Chapter 2. Applied Engineering on Physics-of-Healthy and SHM of Microelectronic Equipment for Aeronautic, Space, Automotive and Transport Operations -- 2.1. Introduction -- 2.2. Component health monitoring: a case study for automotive and aerospace applications -- 2.2.1. Context and particular issues for automotive applications using emerging technologies -- 2.2.2. Predictive reliability and health monitoring methodology for new technologies -- 2.2.3. Prognostic failure model (PFM) level 3: reliability "]
[{"$nulls":4},"prediction applied to DSM technologies in harsh environments -- 2.2.4. Reliability study for DD3RL -- 2.3. Aerospace electronics reliability: practical application of MTOL -- 2.3.1. Standard HTOL -- 2.3.2. Multiple mechanisms."]
[{"$nulls":4},"2.3.3. Acceleration factor -- 2.3.4. Proportionality matrix solution -- 2.4. Conclusion -- 2.5. References -- Part 2. Failure and Analysis of Systems Engineering -- Chapter 3. Fault Tree Analysis in the Context of Systems Engineering Design Analysis -- 3.1. Introduction -- 3.1.1. Background to fault tree analysis -- 3.1.2. Functional basis of fault tree analysis -- 3.1.3. Case study: electric bicycle drive system -- 3.2. System-level analysis -- 3.2.1. Function analysis and decomposition -- 3.2.2. System-level function fault tree development -- 3.3. Subsystem-level analysis -- 3.3.1. Subsystem-level function decomposition -- 3.3.2. Subsystem-level function fault tree development -- 3.4. Component-level analysis -- 3.4.1. Component-level function decomposition -- 3.4.2. Component-level function fault tree development -- 3.5. Initial analysis of FFT and further decomposition -- 3.5.1. Analysis of failure events associated with the connecting and branching flows -- 3.5.2. Decomposition of the FFT to a level which facilitates design optimization -- 3.6. eBike drive system function fault tree analysis -- 3.6.1. Macro-level function fault tree analysis -- 3.6.2. Function fault tree analysis based on SSFD heuristics -- 3.6.3. Function fault tree analysis based on cut sets -- 3.6.4. System of systems context for function fault tree analysis -- 3.7. Relationship of FFTA to other engineering tools -- 3.8. Discussion and conclusion -- 3.9. References -- Chapter 4. Reliability for a Mature Product From the Beginning of Its Useful Life: The Different Types of Tests and Their Impact on Product Reliability -- 4.1. Introduction -- 4.2. The product life profile -- 4.3. The product technical specification -- 4.4. The part (or component) engineering -- 4.5. The performance-based requirement in design -- 4.6. The elimination of weakness in design and technologies."]
[{"$nulls":4},"4.7. Uncertainty and test factors -- 4.7.1. Environment variability -- 4.7.2. Equipment strength variability -- 4.7.3. Aging of equipment -- 4.7.4. The purpose of the uncertainty factor -- 4.7.5. The purpose of the test factor -- 4.8. Validation of the functions -- 4.9. Environmental stress screening and HA-ESS -- 4.10. Conclusion -- 4.11. Appendices -- 4.11.1. Appendix 1: Types of tests -- 4.11.2. Appendix 2: Frequently asked questions on reliability test types -- 4.11.3. Appendix 3: Feasibility test -- 4.11.4. Appendix 4: Comparison of ESS and HA-ESS -- 4.11.5. Appendix 5: Definition of terms -- 4.11.6. Appendix 6: About MTBF calculations based on HALT results -- 4.12. References -- Chapter 5. Reliability Climatic Test for Composites Based on a Probabilistic Arrhenius Model -- 5.1. Introduction: needs and constraints of automotive reliability -- 5.2. Proposition of a new probabilistic Arrhenius model -- 5.2.1. Constant Arrhenius model -- 5.2.2. Probabilistic Arrhenius model -- 5.3. Experimental case -- 5.3.1. Assumptions -- 5.3.2. Results -- 5.3.3. Exploration -- 5.3.4. Results and discussions -- 5.4. Conclusion and outlook -- 5.5. References -- List of Authors -- Index -- EULA."]
[null,null,null,"Sommario/riassunto","This book illustrates simply, but with many details, the state of the art of reliability science, exploring clear reliability disciplines and applications through concrete examples from their industries and from real life, based on industrial experiences. Many experts believe that reliability is not only a matter of statistics but is a multidisciplinary scientific topic, involving materials, tests, simulations, quality tools, manufacturing, electronics, mechatronics, environmental engineering and Big Data, among others. For a complex mechatronic system, failure "]
[{"$nulls":4},"risks have to be identified at an early stage of the design. In the automotive and aeronautic industries, fatigue simulation is used both widely and efficiently. Problems arise from the variability of inputs such as fatigue parameters and life curves. This book aims to discuss probabilistic fatigue and reliability simulation. To do this, Reliability and Physics-of-Healthy in Mechatronics provides a study on some concepts of a predictive reliability model of microelectronics, with examples from the automotive, aeronautic and space industries, based on entropy and Physics-of-Healthy."]