Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
To solve the problem on the reason of inverter over-current fault and the classification recognition during converter operation, it presented a system diagnosis scheme combining EOVW index and decision tree. Based on the signal characteristics of converter output voltage and current which extracted...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.01.016 |
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| Summary: | To solve the problem on the reason of inverter over-current fault and the classification recognition during converter operation, it presented a system diagnosis scheme combining EOVW index and decision tree. Based on the signal characteristics of converter output voltage and current which extracted from wavelet analysis, it built a system of inverter over-current fault diagnosis model using C&RT decision tree data mining thinking and classification function, which can locate effectively the reason on the inverter over-current fault. Final output of the scheme is a set of intelligent identification system, which is convenient and fast, without manual interception, and can be further adjusted and optimized with the accumulation of data. |
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| ISSN: | 2096-5427 |