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An insightful treatment of present and emerging technologies in fault diagnosis and failure prognosis
In Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives, a team of distinguished researchers delivers a comprehensive exploration of current and emerging approaches to fault diagnosis and failure prognosis of electrical machines and drives. The authors begin with foundational background, describing the physics of failure, the motor and drive designs and components that affect failure and signals, signal processing, and analysis.
The book then moves on to describe the features of these signals and the methods commonly used to extract these features to diagnose the health of a motor or drive, as well as the methods used to identify the state of health and differentiate between possible faults or their severity.
Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives discusses the tools used to recognize trends towards failure and the estimation of remaining useful life. It addresses the relationships between fault diagnosis, failure prognosis, and fault mitigation.
The book also provides:
Perfect for researchers and students who wish to study or practice in the rea of electrical machines and drives, Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives is also an indispensable resource for researchers with a background in signal processing or statistics.
Author: Elias G. Strangas, Guy Clerc, Hubert Razik
ISBN-10: 1119722756
ISBN-13: 9781119722755
Publisher: Wiley-IEEE Press
Language: English
Published: 10/26/2021
Pages: 448
Format: Hardcover
Weight: 1.67lbs
Size: 9.00h x 6.00w x 1.00d
Elias G. Strangas, PhD, is a Professor at Michigan State University, where he heads the Electrical Machines and Drives Laboratory.
Guy Clerc is a Professor at the Université de Lyon, Ampère, in Villeurbanne, France.
Hubert Razik is a Professor at the Université de Lyon, Ampère, in Villeurbanne, France.
Abdenour Soualhi is an Assistant Professor at the LASPI Laboratory in Jean Monnet University Roanne.
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