Title:
Electrical systems. 1 : From diagnosis to prognosis
Author:
Soualhi, Abdenour.
ISBN:
9781119720317
9781119720294
Publication Information:
London : ISTE, Ltd. ; Hoboken : Wiley, 2020.
Physical Description:
1 online resource (245 pages)
Series:
Energy series
Energy series (ISTE Ltd.)
General Note:
5.5. References
Contents:
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. Diagnostic Methods for the Health Monitoring of Gearboxes -- 1.1. Introduction -- 1.2. Identification of critical components in gearboxes -- 1.2.1. Types of gears -- 1.2.2. Types of gear defects -- 1.3. Diagnostic methodology -- 1.4. Methods of analysis -- 1.4.1. Temperature analysis -- 1.4.2. Oil analysis -- 1.4.3. Acoustic analysis -- 1.4.4. Vibration analysis -- 1.4.5. Electromagnetic torque analysis -- 1.4.6. Flux analysis -- 1.4.7. Analysis of electric currents -- 1.5. Monitoring methods
1.5.1. Temporal analysis -- 1.5.2. Frequency analysis -- 1.5.3. Time-frequency analysis -- 1.6. Diagnostic methods -- 1.6.1. Model approach -- 1.6.2. Data-driven approach -- 1.7. Conclusion -- 1.8. References -- 2. Techniques for Predicting Defects in Bearings and Gears -- 2.1. Introduction -- 2.1.1. Bearing degradation -- 2.1.2. Degradation of gears -- 2.2. Prediction -- 2.2.1. Hidden Markov models -- 2.2.2. Fault prediction by identifying the degradation process of the system -- 2.3. Conclusion -- 2.4. References -- 3. Electrical Signatures Analysis for Condition Monitoring of Gears
3.1. Introduction -- 3.1.1. Different kinds of gear defects -- 3.1.2. Torsional vibration study -- 3.2. Gear torsional vibration effects on EMSs -- 3.3. Modeling gears in complex electromechanical systems -- 3.3.1. Parallel shaft gears -- 3.3.2. Planetary gears -- 3.3.3. Mechanical shafts and couplings -- 3.3.4. Electrical machine model -- 3.4. Modeling gear tooth surface damage faults -- 3.4.1. Parallel shaft gears -- 3.4.2. Planetary gear faults -- 3.5. Online condition monitoring of gears in complex electromechanical systems -- 3.5.1. Mechanical torque and stator current analysis
3.5.2. Stator current space vector analysis -- 3.6. Conclusion -- 3.7. References -- 4. Modal Decomposition for Bearing Fault Detection -- 4.1. Introduction -- 4.2. Condition monitoring of electrical machines -- 4.2.1. Detection of faults using MCSA -- 4.2.2. Bearing failures -- 4.3. Signal processing tools -- 4.3.1. Empirical mode decomposition method -- 4.3.2. EEMD principle -- 4.3.3. Variational mode decomposition principle -- 4.4. Mode decomposition-based notch filters -- 4.4.1. Statistical distance measurement -- 4.4.2. Dominant Mode cancellation -- 4.5. Fault detectors
4.6. Simulation and experimental validation -- 4.6.1. Synthetic signals -- 4.6.2. Experimental validation -- 4.7. Conclusion -- 4.8. References -- 5. Methods for Lifespan Modeling in Electrical Engineering -- 5.1. Introduction -- 5.2. Parametric methods -- 5.2.1. Design of experiment -- 5.2.2. Response surfaces -- 5.2.3. Application of DoE and RSM to aging and lifespan modeling -- 5.2.4. Factor effect significance -- 5.2.5. Multilinear regression -- 5.2.6. Conclusion regarding parametric methods -- 5.3. Nonparametric models -- 5.3.1. Regression trees -- 5.3.2. Hybrid models -- 5.4. Conclusion
Abstract:
Methods of diagnosis and prognosis play a key role in the reliability and safety of industrial systems. Failure diagnosis requires the use of suitable sensors, which provide signals that are processed to monitor features (health indicators) for defects. These features are required to distinguish between operating states, in order to inform the operator of the severity level, or even the type, of a failure. Prognosis is defined as the estimation of a system's lifespan, including how long remains and how long has passed. It also encompasses the prediction of impending failures. This is a challenge that many researchers are currently trying to address. Electrical Systems, a book in two volumes, informs readers of the theoretical solutions to this problem, and the results obtained in several laboratories in France, Spain and further afield. To this end, many researchers from the scientific community have contributed to this book to share their research results.
Local Note:
John Wiley and Sons
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119720317Copies:
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Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
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