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Howard W. Penrose
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Series: ASM Handbook
Volume: 18
Publisher: ASM International
Published: 31 December 2017
DOI: 10.31399/asm.hb.v18.a0006430
EISBN: 978-1-62708-192-4
Abstract
Through detection of the wear, risk assessment can be performed, along with a related time to failure estimation through technologies such as electrical signature analysis (ESA) and motor current signature analysis. This article discusses the principle of operation of data collectors for ESA measurements and illustrates the evaluation of broken rotor bars and a broken shaft. It describes the detection of faults in bearings using ESA and provides information on the investigation of gearboxes and related components in a wind generator.