Inverter open circuit fault diagnosis based on residual performance evaluation
Abstract Because of uncertain random noise and unknown disturbance, the observer‐based inverter fault diagnosis meets the problems of large deviation of current observation value and high false alarm rate. An inverter open‐circuit fault diagnosis method is proposed via residual performance evaluatio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-11-01
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| Series: | IET Power Electronics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/pel2.12583 |
| _version_ | 1797542449082531840 |
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| author | Tianyu Sun Chaobo Chen Shenhang Wang Binbin Zhang Yanfang Fu Jichao Li |
| author_facet | Tianyu Sun Chaobo Chen Shenhang Wang Binbin Zhang Yanfang Fu Jichao Li |
| author_sort | Tianyu Sun |
| collection | DOAJ |
| description | Abstract Because of uncertain random noise and unknown disturbance, the observer‐based inverter fault diagnosis meets the problems of large deviation of current observation value and high false alarm rate. An inverter open‐circuit fault diagnosis method is proposed via residual performance evaluation. Firstly, the interval sliding mode observer is constructed by combining the interval observer with the sliding mode observer. Three phase current estimates are obtained and current residuals are calculated. Secondly, the residual performance indicators are calculated using the evaluation function. The fault detection is derived by comparing residual performance with the threshold. Thirdly, a residual information table is established based on the fault information contained in the residual for fault isolation. Finally, the proposed algorithm is validated on simulation and physical platforms. Compared with traditional observer‐based diagnostic methods, the introduction of residual performance evaluation improves the diagnostic speed by more than 50%. The interval sliding mode observer has higher estimation accuracy and anti‐interference ability in the presence of noise and external disturbances. |
| first_indexed | 2024-03-10T13:30:41Z |
| format | Article |
| id | doaj.art-1ff662abd2404647891eb9178711fe33 |
| institution | Directory Open Access Journal |
| issn | 1755-4535 1755-4543 |
| language | English |
| last_indexed | 2024-03-10T13:30:41Z |
| publishDate | 2023-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Power Electronics |
| spelling | doaj.art-1ff662abd2404647891eb9178711fe332023-11-21T07:57:30ZengWileyIET Power Electronics1755-45351755-45432023-11-0116152560257610.1049/pel2.12583Inverter open circuit fault diagnosis based on residual performance evaluationTianyu Sun0Chaobo Chen1Shenhang Wang2Binbin Zhang3Yanfang Fu4Jichao Li5School of Electronic Information Engineering Xi'an Technological University Xi'an Shaanxi ChinaSchool of Electronic Information Engineering Xi'an Technological University Xi'an Shaanxi ChinaBeijing Aerospace Automatic Control Institution Beijing ChinaSchool of Electronic Information Engineering Xi'an Technological University Xi'an Shaanxi ChinaSchool of Computer Science and Engineering Xi'an Technological University Xi'an Shaanxi ChinaSchool of Electronic Information Engineering Xi'an Technological University Xi'an Shaanxi ChinaAbstract Because of uncertain random noise and unknown disturbance, the observer‐based inverter fault diagnosis meets the problems of large deviation of current observation value and high false alarm rate. An inverter open‐circuit fault diagnosis method is proposed via residual performance evaluation. Firstly, the interval sliding mode observer is constructed by combining the interval observer with the sliding mode observer. Three phase current estimates are obtained and current residuals are calculated. Secondly, the residual performance indicators are calculated using the evaluation function. The fault detection is derived by comparing residual performance with the threshold. Thirdly, a residual information table is established based on the fault information contained in the residual for fault isolation. Finally, the proposed algorithm is validated on simulation and physical platforms. Compared with traditional observer‐based diagnostic methods, the introduction of residual performance evaluation improves the diagnostic speed by more than 50%. The interval sliding mode observer has higher estimation accuracy and anti‐interference ability in the presence of noise and external disturbances.https://doi.org/10.1049/pel2.12583DC–AC power convertorsfault diagnosisinvertorsmathematical analysispower electronicsinterval sliding mode observer |
| spellingShingle | Tianyu Sun Chaobo Chen Shenhang Wang Binbin Zhang Yanfang Fu Jichao Li Inverter open circuit fault diagnosis based on residual performance evaluation IET Power Electronics DC–AC power convertors fault diagnosis invertors mathematical analysis power electronics interval sliding mode observer |
| title | Inverter open circuit fault diagnosis based on residual performance evaluation |
| title_full | Inverter open circuit fault diagnosis based on residual performance evaluation |
| title_fullStr | Inverter open circuit fault diagnosis based on residual performance evaluation |
| title_full_unstemmed | Inverter open circuit fault diagnosis based on residual performance evaluation |
| title_short | Inverter open circuit fault diagnosis based on residual performance evaluation |
| title_sort | inverter open circuit fault diagnosis based on residual performance evaluation |
| topic | DC–AC power convertors fault diagnosis invertors mathematical analysis power electronics interval sliding mode observer |
| url | https://doi.org/10.1049/pel2.12583 |
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