Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction motor stator windings operating under the Direct Field Oriented Control method. A convolutional neural network (CNN), trained with a Stochastic Gradient Descent with Momentum method is used. This kind...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2020-10-01
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| Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/117693/PDF/09_D1039-1048_01553_Bpast.No.68-5_30.10.20_.pdf |
| _version_ | 1828326497168916480 |
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| author | M. Skowron M. Wolkiewicz G. Tarchała |
| author_facet | M. Skowron M. Wolkiewicz G. Tarchała |
| author_sort | M. Skowron |
| collection | DOAJ |
| description | In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction motor stator windings operating under the Direct Field Oriented Control method. A convolutional neural network (CNN), trained with a Stochastic Gradient Descent with Momentum method is used. This kind of deep-trained neural network allows to significantly accelerate the diagnostic process compared to the traditional methods based on the Fast Fourier Transform as well as it does not require stationary operating conditions. To assess the effectiveness of the applied CNN-based detectors, the tests were carried out for variable load conditions and different values of the supply voltage frequency. Experimental results of the proposed induction motor fault detection system are presented and discussed. |
| first_indexed | 2024-04-13T19:40:18Z |
| format | Article |
| id | doaj.art-ad1e7569e2574b07b6d26ed648a62c8f |
| institution | Directory Open Access Journal |
| issn | 2300-1917 |
| language | English |
| last_indexed | 2024-04-13T19:40:18Z |
| publishDate | 2020-10-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| spelling | doaj.art-ad1e7569e2574b07b6d26ed648a62c8f2022-12-22T02:32:55ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172020-10-0168No. 5 (i.a. Special Section on Modern control of drives and power converters)10391048https://doi.org/10.24425/bpasts.2020.134660Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networksM. SkowronM. WolkiewiczG. TarchałaIn this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction motor stator windings operating under the Direct Field Oriented Control method. A convolutional neural network (CNN), trained with a Stochastic Gradient Descent with Momentum method is used. This kind of deep-trained neural network allows to significantly accelerate the diagnostic process compared to the traditional methods based on the Fast Fourier Transform as well as it does not require stationary operating conditions. To assess the effectiveness of the applied CNN-based detectors, the tests were carried out for variable load conditions and different values of the supply voltage frequency. Experimental results of the proposed induction motor fault detection system are presented and discussed.https://journals.pan.pl/Content/117693/PDF/09_D1039-1048_01553_Bpast.No.68-5_30.10.20_.pdfdiagnosticsstator faultsfield-oriented controlconvolutional neural networks |
| spellingShingle | M. Skowron M. Wolkiewicz G. Tarchała Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks Bulletin of the Polish Academy of Sciences: Technical Sciences diagnostics stator faults field-oriented control convolutional neural networks |
| title | Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks |
| title_full | Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks |
| title_fullStr | Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks |
| title_full_unstemmed | Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks |
| title_short | Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks |
| title_sort | stator winding fault diagnosis of induction motor operating under the field oriented control with convolutional neural networks |
| topic | diagnostics stator faults field-oriented control convolutional neural networks |
| url | https://journals.pan.pl/Content/117693/PDF/09_D1039-1048_01553_Bpast.No.68-5_30.10.20_.pdf |
| work_keys_str_mv | AT mskowron statorwindingfaultdiagnosisofinductionmotoroperatingunderthefieldorientedcontrolwithconvolutionalneuralnetworks AT mwolkiewicz statorwindingfaultdiagnosisofinductionmotoroperatingunderthefieldorientedcontrolwithconvolutionalneuralnetworks AT gtarchała statorwindingfaultdiagnosisofinductionmotoroperatingunderthefieldorientedcontrolwithconvolutionalneuralnetworks |