Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing
This paper presents a method of inter-turn short-circuit identification in induction motors during load current variations based on a hybrid analytic approach that combines the genetic algorithm and simulated annealing. With this approach, the essence of the method relies on determining the referenc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/1/117 |
| _version_ | 1797499179464916992 |
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| author | Marcin Tomczyk Ryszard Mielnik Anna Plichta Iwona Goldasz Maciej Sułowicz |
| author_facet | Marcin Tomczyk Ryszard Mielnik Anna Plichta Iwona Goldasz Maciej Sułowicz |
| author_sort | Marcin Tomczyk |
| collection | DOAJ |
| description | This paper presents a method of inter-turn short-circuit identification in induction motors during load current variations based on a hybrid analytic approach that combines the genetic algorithm and simulated annealing. With this approach, the essence of the method relies on determining the reference matrices and calculating the distance between the reference matric values and the test matrix. As a whole, it is a novel approach to the process of identifying faults in induction motors. Moreover, applying a discrete optimization algorithm to search for alternative solutions makes it possible to obtain the true minimal values of the matrices in the identification process. The effectiveness of the applied method in the monitoring and identification processes of the inter-turn short-circuit in the early stage of its creation was confirmed in tests carried out for several significant state variables describing physical magnitudes of the selected induction motor model. The need for identification of a particular fault is related to a gradual increase in its magnitude in the process of the induction motor’s exploitation. The occurrence of short-circuits complicates the dynamic properties of the measured diagnostic signals of the system to a great extent. |
| first_indexed | 2024-03-10T03:43:44Z |
| format | Article |
| id | doaj.art-b5d2ab033acc4dbf923c1384997d4cb8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:43:44Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b5d2ab033acc4dbf923c1384997d4cb82023-11-23T11:25:47ZengMDPI AGEnergies1996-10732021-12-0115111710.3390/en15010117Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated AnnealingMarcin Tomczyk0Ryszard Mielnik1Anna Plichta2Iwona Goldasz3Maciej Sułowicz4Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, PolandFaculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, PolandFaculty of Computer Science and Telecommunications, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, PolandFaculty of Environmental and Power Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, PolandFaculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, PolandThis paper presents a method of inter-turn short-circuit identification in induction motors during load current variations based on a hybrid analytic approach that combines the genetic algorithm and simulated annealing. With this approach, the essence of the method relies on determining the reference matrices and calculating the distance between the reference matric values and the test matrix. As a whole, it is a novel approach to the process of identifying faults in induction motors. Moreover, applying a discrete optimization algorithm to search for alternative solutions makes it possible to obtain the true minimal values of the matrices in the identification process. The effectiveness of the applied method in the monitoring and identification processes of the inter-turn short-circuit in the early stage of its creation was confirmed in tests carried out for several significant state variables describing physical magnitudes of the selected induction motor model. The need for identification of a particular fault is related to a gradual increase in its magnitude in the process of the induction motor’s exploitation. The occurrence of short-circuits complicates the dynamic properties of the measured diagnostic signals of the system to a great extent.https://www.mdpi.com/1996-1073/15/1/117turn short-circuitstator windinginduction motorgenetic algorithmsimulated annealing |
| spellingShingle | Marcin Tomczyk Ryszard Mielnik Anna Plichta Iwona Goldasz Maciej Sułowicz Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing Energies turn short-circuit stator winding induction motor genetic algorithm simulated annealing |
| title | Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing |
| title_full | Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing |
| title_fullStr | Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing |
| title_full_unstemmed | Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing |
| title_short | Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing |
| title_sort | identification of inter turn short circuits in induction motor stator winding using simulated annealing |
| topic | turn short-circuit stator winding induction motor genetic algorithm simulated annealing |
| url | https://www.mdpi.com/1996-1073/15/1/117 |
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