Abdenour Soualhi - Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives

3 Chapter 3Figure 3.1 Bath Curve.Figure 3.2 Elementary block connections for reliability calculation.Figure 3.3 The bathtub curve, as described by the Weibull parameter...Figure 3.4 Driving cycle FTP-72.Figure 3.5 B10 Lifetime model of IGBT modules tested under different stress levels...Figure 3.6 Example of Fault Tree graphical representation...Figure 3.7 Part of a Markov model showing fault coverage Bazzi et al. (2012).Figure 3.8 Reliability prediction toolbox for power electronic ...Figure 3.9 Markov state transition diagram for the phase fault Xu et al. (2016).Figure 3.10 Failure rates of drive systems without fault mitigation...Figure 3.11 Paths to failure of a system with fault diagnosis and prognosis ...Figure 3.12 Induction motor drive under IFOC Bazzi et al. (2012).Figure 3.13 Block diagram showing basic structure of simulation tool ...Figure 3.14 All detected extreme values of temperature curve ...Figure 3.15 Markov chain state-transition diagram of open-winding ...Figure 3.16 Markov chain state-transition diagram of standard 3-phase drive ...Figure 3.17 Thermal stress of power devices in a power converter with multi...Figure 3.18 Distribution of lifetime consumption and wind speed of ...Figure 3.19 Block diagram of a hierarchical Markov model of electric vehicles...Figure 3.20 Combined performance-demand Markov model of electric propulsion...Figure 3.21 Total failure probability of 9-phase PSM at 85 ...Figure 3.22 Flowchart for the reliability analysis of power devices caused ...Figure 3.23 Structure and reliability block diagram of a three-phase five-level ...Figure 3.24 Reliability curve comparison concerning three-phase two-, three-, and...Figure 3.25 Three geared motors servomechanism, Pei et al. (2010).Figure 3.26 Fault dimension shown in pdf, Pei et al. (2010).Figure 3.27 Slow parameter adaptation scenario using filter, Tang et al. (2010).Figure 3.28 Concept of dynamic model-based prognostics, Tang et al. (2010).Figure 3.29 Effect of prognosis interval on reconfiguration decision.Figure 3.30 Time sequence: Estimate of RUL and prediction interval...Figure 3.31 Fault prediction, mitigation, and RUL of the system ...

1 Chapter 1 Table 1.1 Current sensors: shunts 1/8 Table 1.2 Current sensors: Temperature-based sensor and current comparator 2/8 Table 1.3 Current sensors: Current comparator with detection coil and... Table 1.4 Current sensors: Transducer and Rogowski coil Table 1.5 Current sensors: Internal inductive flow sensor and... Table 1.6 Current sensors: Hall effect sensor and magnetoresistive probe 6/8 Table 1.7 Current sensors: Current mirror and optical sensor 7/8 Table 1.8 Current sensors: Laser diodes and device characteristics 8/8 Table 1.9 Vibration sensors Table 1.10 Temperature sensors Table 1.11 Acoustic sensors Table 1.12 First group of properties of the representations of... Table 1.13 Second group of properties of the representations of... Table 1.14 Third group of properties of the representations of... Table 1.15 Fourth group of properties of the representations of... Table 1.16 Cohen’s class representations: Wigner–Ville,... Table 1.17 Cohen class representations: Rihaczek Distribution and associated forms... Table 1.18 Cohen class representations: Spectrogram et... Table 1.19 Cohen class representations: Product-type or... Table 1.20 TFR examples for a chirp signal Wigner– Table 1.21 Some characteristics of the model approachTable 1.22 Main distancesTable 1.23 Rainflow reversalsTable 1.24 Rainflow cycles

2 Chapter 2Table 2.1 Neodymium magnets characteristics: Arnold MagneticsTable 2.2 Samarium magnets characteristics: Arnold Magnetics.Table 2.3 Voltage select vector for DTC of an induction machine.Table 2.4 Voltage select vector for DTC of a PMAC machine.Table 2.5 Voltage vectors generated by a two levels inverter.Table 2.6 Semi-conductor requirements according to the kind of applications.Table 2.7 Characteristics of a ceramic capacitor.Table 2.8 Capacitor Families.Table 2.9 Analysis of the different failure modes and mechanisms...Table 2.10 TSEP parameters.Table 2.11 Voltage vectors generated by a two levels inverter under misfiring on...Table 2.12 Synthesis of the different diagnosis methods for IGBT...Table 2.13 Comparison of failure mechanism-based methods...Table 2.14 Comparison of failure mechanism based methods...

3 Chapter 3Table 3.1 Reliability assessment of MFC under different aging degree;...Table 3.2 Operating Conditions of Testing Setup Under Different...Table 3.3 Lifetime prediction results Wang et al. (2014)....Table 3.4 Illustrative Failure Rates of sensors Bazzi et al. (2012).Table 3.5 Focus Point Matrix for Power Electronics, Wang et al. (2014).Table 3.6 Reliability assessment of MFC under different aging degree;...Table 3.7 Drive component failure rates, El Murr et al. (2015).

1 Cover

2 Title page Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives Elias G. Strangas Michigan State UniversityEast Lansing, Michigan Guy Clerc University of LyonVilleurbanne, France Hubert Razik University of LyonVilleurbanne, France Abdenour Soualhi University of LyonSaint Etienne, France

3 Copyright

4 Dedication

5 Table of Contents

6 Contributors

7 Acknowledgments

8 Acronyms

9 Begin Reading

10 Index

11 End User License Agreement

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