Fault diagnosis of induction motors rotor using current signature with different signal processing techniques
The popularity of asynchronous machines, particularly squirrel cage machines, stems from their inexpensive production costs, resilience, and low maintenance requirements. Unfortunately, potential flaws in these devices might have a negative impact on the facility's profitability and service qua...
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| Format: | Article |
| Language: | English |
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Polskie Towarzystwo Diagnostyki Technicznej
2022-03-01
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| Series: | Diagnostyka |
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| Online Access: | http://www.diagnostyka.net.pl/Fault-diagnosis-of-induction-motors-rotor-using-current-signature-with-different,147462,0,2.html |
| _version_ | 1797742353770872832 |
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| author | Guezam Abdelhak Bessedik Sid Ahmed Rabah Djekidel |
| author_facet | Guezam Abdelhak Bessedik Sid Ahmed Rabah Djekidel |
| author_sort | Guezam Abdelhak |
| collection | DOAJ |
| description | The popularity of asynchronous machines, particularly squirrel cage machines, stems from their inexpensive production costs, resilience, and low maintenance requirements. Unfortunately, potential flaws in these devices might have a negative impact on the facility's profitability and service quality. As a result, diagnostic tools for detecting flaws in these types of devices must be developed. Asynchronous machine problems can be diagnosed using a variety of methods. Signal processing techniques based on extracting information from characteristic quantities of electrical machine operation can provide highly useful information about flaws.
The purpose of this research is to develop efficient algorithms based on numerous signal processing approaches for correctly detecting asynchronous cage machine rotor defects (rotor bar ruptures) |
| first_indexed | 2024-03-12T14:39:38Z |
| format | Article |
| id | doaj.art-f74a7969b165471f8657dab5ce2f6c21 |
| institution | Directory Open Access Journal |
| issn | 2449-5220 |
| language | English |
| last_indexed | 2024-03-12T14:39:38Z |
| publishDate | 2022-03-01 |
| publisher | Polskie Towarzystwo Diagnostyki Technicznej |
| record_format | Article |
| series | Diagnostyka |
| spelling | doaj.art-f74a7969b165471f8657dab5ce2f6c212023-08-16T14:12:03ZengPolskie Towarzystwo Diagnostyki TechnicznejDiagnostyka2449-52202022-03-012321910.29354/diag/147462147462Fault diagnosis of induction motors rotor using current signature with different signal processing techniquesGuezam Abdelhak0https://orcid.org/0000-0002-3277-8509Bessedik Sid Ahmed1https://orcid.org/0000-0003-0818-0176Rabah Djekidel2(LACoSERE) University of Laghouat, 03000, ALGERIA(LACoSERE) University of Laghouat, 03000, ALGERIA(LACoSERE) University of Laghouat, 03000, ALGERIAThe popularity of asynchronous machines, particularly squirrel cage machines, stems from their inexpensive production costs, resilience, and low maintenance requirements. Unfortunately, potential flaws in these devices might have a negative impact on the facility's profitability and service quality. As a result, diagnostic tools for detecting flaws in these types of devices must be developed. Asynchronous machine problems can be diagnosed using a variety of methods. Signal processing techniques based on extracting information from characteristic quantities of electrical machine operation can provide highly useful information about flaws. The purpose of this research is to develop efficient algorithms based on numerous signal processing approaches for correctly detecting asynchronous cage machine rotor defects (rotor bar ruptures)http://www.diagnostyka.net.pl/Fault-diagnosis-of-induction-motors-rotor-using-current-signature-with-different,147462,0,2.htmlsignal processingasynchronous machinediagnosticrotor defect |
| spellingShingle | Guezam Abdelhak Bessedik Sid Ahmed Rabah Djekidel Fault diagnosis of induction motors rotor using current signature with different signal processing techniques Diagnostyka signal processing asynchronous machine diagnostic rotor defect |
| title | Fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| title_full | Fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| title_fullStr | Fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| title_full_unstemmed | Fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| title_short | Fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| title_sort | fault diagnosis of induction motors rotor using current signature with different signal processing techniques |
| topic | signal processing asynchronous machine diagnostic rotor defect |
| url | http://www.diagnostyka.net.pl/Fault-diagnosis-of-induction-motors-rotor-using-current-signature-with-different,147462,0,2.html |
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