NDLI: Dyadic wavelet transform-based acoustic signal analysis for torque prediction of a three-phase induction motor

Content Provider	IET Digital Library
Author	Sangeetha, Parvathi Hemamalini, Sathish
Abstract	Condition monitoring and predictive maintenance play a key role in the maintenance of an electrical machine. In this study, to monitor the condition of the induction machine, torque is predicted from the acquired acoustic signals. The acoustic signals collected from different locations of an induction motor are analysed using dyadic wavelet transform for various load conditions. The predicted torque is computed using multiple regression method by extracting the root mean square and mean statistical features of the processed acoustic signal. The percentage error is approximately 5–10% at different location validating the feasibility of using acoustic signals for condition monitoring of machines. In addition, the harmonics induced in the healthy machine due to various acoustic sources is verified using acoustic spectrum. Also, using Pseudo spectrum MUltiple SIgnal Classification algorithm, the pattern and peak decibel for the acquired acoustic signal at different locations are analysed. For any number of samples, the patterns are unique for each location at different speeds. The results obtained validate that pattern analysis method can also be used for condition monitoring and predictive maintenance in electric machines.
Starting Page	604
Ending Page	612
Page Count	9
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 5, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0165
Journal	IET Signal Processing
Publisher Date	2017-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Analysis Acoustic Signal Process Acoustic Sources Acoustic Spectrum Asynchronous Machine Condition Monitoring Drive Dyadic Wavelet Transform Electric Drive Electrical Drive System Electrical Machine Healthy Machine Induction Machine Induction Motors Integral Transforms Load Condition Mean Statistical Feature Pattern Decibel Peak Decibel Percentage Error Predictive Maintenance Pseudo Spectrum Multiple Signal Classification Algorithm Regression Analysis Root Mean Square Signal Classification Signal Processing And Detection Statistics Three Phase Induction Motor Torque Prediction Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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