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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.

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Howard W. Penrose, Electrical and Motor-Current Signature Analysis, Friction, Lubrication, and Wear Technology, Vol 18, ASM Handbook, Edited By George E. Totten, ASM International, 2017, p 1040–1044, https://doi.org/10.31399/asm.hb.v18.a0006430

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