Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives
This paper introduces a sensitivity-enhanced fault detection algorithm, termed the Fault Diagnosis and Amplifying (FDnA) method, designed to amplify fault signals in induction motors with broken rotor bars. The FDnA algorithm employs a cascaded state observer structure, integrating stator flux linka...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10851258/ |
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| author | Jina Choi Se Hwan Kim Woongkul Lee Jae Suk Lee |
| author_facet | Jina Choi Se Hwan Kim Woongkul Lee Jae Suk Lee |
| author_sort | Jina Choi |
| collection | DOAJ |
| description | This paper introduces a sensitivity-enhanced fault detection algorithm, termed the Fault Diagnosis and Amplifying (FDnA) method, designed to amplify fault signals in induction motors with broken rotor bars. The FDnA algorithm employs a cascaded state observer structure, integrating stator flux linkage and stator current observers based on an analytical model of an induction motor. By multiplying the output signals of these observers, the algorithm significantly enhances the sensitivity of fault detection. The FDnA method is robust against external environmental conditions and excels in accurately detecting broken rotor bar faults. Additionally, it offers a cost-effective and retrofittable solution by replacing traditional sensors and interfacing circuits with state observers, eliminating the need for additional hardware. Comprehensive validation through simulations and rapid control prototyping highlights the superior fault detection sensitivity of the FDnA method compared to conventional approaches, establishing it as a reliable and efficient advancement in fault detection for induction motors. |
| format | Article |
| id | doaj-art-3862d1dc6a714a6dab3b93572ccc7b2e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3862d1dc6a714a6dab3b93572ccc7b2e2025-01-31T00:01:18ZengIEEEIEEE Access2169-35362025-01-0113190641907410.1109/ACCESS.2025.353299010851258Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor DrivesJina Choi0Se Hwan Kim1Woongkul Lee2Jae Suk Lee3https://orcid.org/0000-0002-1165-9201Device Experience and Digital Appliance Circuit Development Laboratory, Samsung Electronics, Suwon, South KoreaDepartment of Automotive Parts, Korea Institute of Machinery and Materials, Daejeon, South KoreaElmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USADepartment of Electrical Engineering, Jeonbuk National University, Jeonju, South KoreaThis paper introduces a sensitivity-enhanced fault detection algorithm, termed the Fault Diagnosis and Amplifying (FDnA) method, designed to amplify fault signals in induction motors with broken rotor bars. The FDnA algorithm employs a cascaded state observer structure, integrating stator flux linkage and stator current observers based on an analytical model of an induction motor. By multiplying the output signals of these observers, the algorithm significantly enhances the sensitivity of fault detection. The FDnA method is robust against external environmental conditions and excels in accurately detecting broken rotor bar faults. Additionally, it offers a cost-effective and retrofittable solution by replacing traditional sensors and interfacing circuits with state observers, eliminating the need for additional hardware. Comprehensive validation through simulations and rapid control prototyping highlights the superior fault detection sensitivity of the FDnA method compared to conventional approaches, establishing it as a reliable and efficient advancement in fault detection for induction motors.https://ieeexplore.ieee.org/document/10851258/Induction motorfault detectionstator flux linkage observerstator current observerFFT analysisfault detection sensitivity |
| spellingShingle | Jina Choi Se Hwan Kim Woongkul Lee Jae Suk Lee Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives IEEE Access Induction motor fault detection stator flux linkage observer stator current observer FFT analysis fault detection sensitivity |
| title | Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives |
| title_full | Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives |
| title_fullStr | Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives |
| title_full_unstemmed | Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives |
| title_short | Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives |
| title_sort | rapid control prototyping and analysis of a fault diagnosis and amplifying algorithm for broken rotor bar induction motor drives |
| topic | Induction motor fault detection stator flux linkage observer stator current observer FFT analysis fault detection sensitivity |
| url | https://ieeexplore.ieee.org/document/10851258/ |
| work_keys_str_mv | AT jinachoi rapidcontrolprototypingandanalysisofafaultdiagnosisandamplifyingalgorithmforbrokenrotorbarinductionmotordrives AT sehwankim rapidcontrolprototypingandanalysisofafaultdiagnosisandamplifyingalgorithmforbrokenrotorbarinductionmotordrives AT woongkullee rapidcontrolprototypingandanalysisofafaultdiagnosisandamplifyingalgorithmforbrokenrotorbarinductionmotordrives AT jaesuklee rapidcontrolprototypingandanalysisofafaultdiagnosisandamplifyingalgorithmforbrokenrotorbarinductionmotordrives |