Abstract
Condition monitoring has an important role in the enhancement of reliability of operation, reduction in major damages and improving operational efficiency of equipments and systems. Various non-destructive methods like oil analysis, wear and debris analysis, vibration analysis, temperature analysis and acoustic analysis is used in many industrial applications, renewable and non-renewable power plants, in engineering fields like fluid mechanics, concrete and infra structures in civil engineering, and reaming industries. In recent decades, acoustic monitoring techniques are emerging widely in vehicle industries, windmill, nuclear reactor, and thermal power plants for monitoring the condition of electrical or mechanical equipments. It has extended its application in diagnosis of health and fault condition of electrical machines due its low operating cost and continuous assessment for improving the life span, reliability, safety, performance, productivity and to decrease planned shutdowns. Acoustic signal processing is used in acoustic monitoring to monitor the healthy and faulty conditions of machines. The acoustic monitoring involves acoustic signal or data collection, signal processing, decision making, and fault diagnosis. In this paper, an overview of the advancements and developments in acoustic signal processing techniques for acoustic monitoring of electric machines are summarized.
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