Journal
APPLIED ACOUSTICS
Volume 117, Issue -, Pages 20-27Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apacoust.2016.10.012
Keywords
Fault; Acoustic signal; Single phase induction motor; Diagnosis; Recognition
Categories
Funding
- AGH University of Science and Technology [11.11.120.612, 11.11.120.354]
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An early diagnosis of faults prevents financial loss and downtimes in the industry. In this paper the authors presented the early fault diagnostic technique of stator faults of the single-phase induction motor. The proposed technique was based on recognition of acoustic signals. The authors measured and analysed 3 states of the single-phase induction motor: a healthy single-phase induction motor, a single-phase induction motor with shorted coils of auxiliary winding, a single-phase induction motor with shorted coils of auxiliary winding and main winding. In this paper an original method of feature extraction called MSAF-RATIO30-MULTIEXPANDED (Method of Selection of Amplitudes of Frequency Ratio 30% of maximum of amplitude Multiexpanded) was described. This method was used to form feature vectors. A classification of obtained vectors was performed by the KNN (K-Nearest Neighbour classifier), the K-Means clustering and the Linear Perceptron. The early fault diagnostic technique can find application for protection of the single-phase induction motors. It can be also used for other rotating electrical machines. (C) 2016 Elsevier Ltd. All rights reserved.
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