Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives - (IEEE Press) (Hardcover)

About the Book

"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."--

Book Synopsis

Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives

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:

• A thorough introduction to the modes of failure, how early failure precursors manifest themselves in signals, and how features extracted from these signals are processed
• A comprehensive exploration of the fault diagnosis, the results of characterization, and how they used to predict the time of failure and the confidence interval associated with it
• A focus on medium-sized drives, including induction, permanent magnet AC, reluctance, and new machine and drive types

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.

From the Back Cover

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:

• A thorough introduction to the modes of failure, how early failure precursors manifest themselves in signals, and how features extracted from these signals are processed
• A comprehensive exploration of the fault diagnosis, the results of characterization, and how they used to predict the time of failure and the confidence interval associated with it
• A focus on medium-sized drives, including induction, permanent magnet AC, reluctance, and new machine and drive types

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.

About the Author

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.