Monitoring and Detecting Health of a Single Phase Induction Motor Using Data Acquisition Interface (DAI) module with Artificial Neural Network

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Abstract: This paper deals with the problem of detection of induction motor incipient faults and usefulness of Artificial Neural Network (ANN) in this respect. The research work diagnoses the three major faults such as stator inter-turn faults, bearing faults and misalignment faults using some measurable parameters (motor intake current, speed and body temperature). The experimental data for three measurable parameters were generated in the laboratory on specially connected single phase induction motor. The measurable parameters were obtained by a Data Acquisition Interface (DAI) module and neural network algorithm was achieved by using MATLAB programming language. Experimental results show that it is a very good choice to detect incipient faults in single phase induction motor using an ANN algorithm.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 9, 2014, Art. #24

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Ainul Anam Shahjamal Khan, Adittya Ranjan Chowdhury, Md. Shahriar Haque, "Monitoring and Detecting Health of a Single Phase Induction Motor Using Data Acquisition Interface (DAI) module with Artificial Neural Network," WSEAS Transactions on Systems and Control, vol. 9, pp. 229-237, 2014, DOI:
Ainul Anam Shahjamal Khan, Adittya Ranjan Chowdhury, Md. Shahriar Haque. Monitoring and Detecting Health of a Single Phase Induction Motor Using Data Acquisition Interface (DAI) module with Artificial Neural Network. WSEAS Transactions on Systems and Control. 2014;9:229-237.
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