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Acoustic Analysis for Diagnosis of Motor Faults Using Speech Recognition Algorithm

S. Anitha, A. Padmanathan

Abstract


The objective of this paper is to present Induction motor fault signature analysis with particular regard to audio signal analysis of induction motor of fan. This modified sound signal processed using MATLAB software for computing and plotting the autocorrelation of Sound signal. In this paper, proposed to review several voice algorithms in terms of detection accuracy and processing overhead and to identify the optimal voice recognition algorithm that can give the best trade-offs between processing cost (speed, power) and accuracy. Also, to implement and verify the chosen sound signal using MATLAB .The different parameters of sound signals that can be determined by using this analysis for detecting the motor faults.


Keywords


Speech Recognition, Motor Faults, Induction Motor, Fault Detection, High Frequency, MATLAB Software.

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References


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