Abstract
A framework to analyze the impact of feature selection, threshold level, and applied data window on fault detection accuracy is proposed in this study. It aims to bring a step closer to state-of-the-art fault detection research to practical applications. A relatively comprehensive database is established by emulating traction dual rectifiers for railway applications under diverse normal and fault operations. Factors such as grid-side fluctuations and harmonics, load changes and parameter variances, and a broad range of traction operation modes are considered in the database preparation. The proposed framework makes it possible to evaluate the accuracy with different design variables in the fault detection implementation. The presented study is exemplified by a case study on open-circuit faults in power devices of the traction dual rectifiers.
Original language | English |
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Title of host publication | 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia) |
Number of pages | 6 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Publication date | 20 May 2024 |
Pages | 4481-4486 |
Article number | 10567256 |
ISBN (Print) | 979-8-3503-5134-7 |
ISBN (Electronic) | 979-8-3503-5133-0 |
DOIs | |
Publication status | Published - 20 May 2024 |
Event | 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia) - Chengdu, China Duration: 17 May 2024 → 20 May 2024 |
Conference
Conference | 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia) |
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Location | Chengdu, China |
Period | 17/05/2024 → 20/05/2024 |
Keywords
- Accuracy
- Databases
- Fault detection
- Feature extraction
- Fluctuations
- Rectifiers
- Systems operation
- diagnosis accuracy
- threshold level
- feature selection