Title:
Electrical systems. 2 : from diagnosis to prognosis
Author:
Soualhi, Abdenour.
ISBN:
9781119720584
9781119720560
Publication Information:
London : ISTE, Ltd. ; Hoboken : Wiley, 2020.
Physical Description:
1 online resource (229 pages)
Series:
Energy series
Energy series (ISTE Ltd.)
General Note:
5.2.2. Current status of the PEMFC technology
Contents:
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. Diagnosis of Electrical Machines by External Field Measurement -- 1.1. Introduction -- 1.2. Extracting indicators from the external magnetic field -- 1.2.1. External field classification -- 1.2.2. Attenuation of the transverse field -- 1.2.3. Measurement of the transverse field -- 1.2.4. Modeling a healthy machine -- 1.2.5. Modeling a faulty machine -- 1.2.6. Effect of the load -- 1.3. Information fusion to detect the inter-turn short-circuit faults -- 1.3.1. Belief function theory: basic concepts
1.3.2. Fault detection with the fusion method -- 1.3.3. Calculation example -- 1.4. Application -- 1.4.1. Presentation of rotating electrical machines -- 1.4.2. Presentation of experimental results -- 1.5. Conclusion -- 1.6. References -- 2. Signal Processing Techniques for Transient Fault Diagnosis -- 2.1. Introduction -- 2.2. Fault detection via motor current analysis -- 2.2.1. Classical tools (MCSA) -- 2.2.2. New techniques based on transient analysis (ATCSA) -- 2.3. Signal processing tools for transient analysis -- 2.3.1. Example of a discrete tool: the DWT
2.3.2. Example of a continuous tool: the HHT -- 2.4. Application of transient-based tools for electric motor fault detection -- 2.4.1. Application of the DWT for the detection of rotor damage -- 2.4.2. Application of the HHT for the detection of rotor damage -- 2.5. Conclusions -- 2.6. References -- 3. Accurate Stator Fault Detection in an Induction Motor Using the Symmetrical Current Components -- 3.1. Introduction -- 3.2. Study of the SCCs behavior in an IM under different stator faults -- 3.2.1. Simulation study -- 3.2.2. Analytical study of the SCCs in an IM under different stator faults
3.3. Extracting stator fault indicators from an IM -- 3.4. Automatic and accurate detection and diagnosis of stator faults -- 3.4.1. Description of the monitoring system of the IM operating state -- 3.4.2. Improving the accuracy of incipient stator fault detection -- 3.4.3. Automatic incipient stator fault diagnosis in an IM -- 3.5. Conclusion -- 3.6. References -- 4. Bearing Fault Diagnosis in Rotating Machines -- 4.1. Introduction -- 4.1.1. Bearing fault detection and diagnosis overview -- 4.1.2. Problem statement and proposal -- 4.2. Method description
4.2.1. The global spectral analysis description -- 4.2.2. Discrimination of faults in the bearing balls using LDA -- 4.3. Experimental data -- 4.3.1. Experimental test bed description -- 4.3.2. Time-domain detection -- 4.4. Global spectra bearing diagnosis -- 4.4.1. Data preprocessing -- 4.4.2. Global spectra results with PCA -- 4.4.3. Global spectra results with LDA -- 4.5. Conclusion -- 4.6. References -- 5. Diagnosis and Prognosis of Proton Exchange Membrane Fuel Cells -- 5.1. Introduction -- 5.2. PEMFC functioning principle and development status -- 5.2.1. From a PEMFC to a PEMFC system
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/10.1002/9781119720584Copies:
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Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 595957-1001 | TA169.5 | Searching... | Searching... |