Fault Detection Reliability
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Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives
Author: Elias G. Strangas
language: en
Publisher: Wiley-IEEE Press
Release Date: 2021-11-29
"The progress in electrification of manufacturing processes, transportation, commercial and residential applications is accelerating exponentially. This movement is supported by an increasing acceptance and use of electrical drives, which have progressed in terms of cost, size, efficiency and performance. This progress enabled the use of drives in current and new applications that benefit from these characteristics. This resulted in lower environmental pollution, and applications requiring higher exibility, such as electric and hybrid vehicles, more electric airplanes and electric ships, new energy sources, industrial controls, consumer electronics, health devices, etc. Electrical drives that are of interest in this book are of widely varying sizes, from large wind generators and ship propulsion systems, down to miniature ones used in medical devices. The drives invariably use an electrical machine, power electronics, controllers, sensors, and occasionally batteries to operate."--
Fault Detection & Reliability
Provides an up-to-date review of the latest developments in system reliability maintenance, fault detection and fault-tolerant design techniques. Topics covered include reliability analysis and optimization, maintenance control policies, fault detection techniques, fault-tolerant systems, reliable controllers and robustness, knowledge based approaches and decision support systems. There are further applications papers on process control, robotics, manufacturing systems, communications and power systems. Contains 36 papers.
Fault-Diagnosis Systems
Author: Rolf Isermann
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-01-16
With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.