The research and application of intelligent fault diagnosis methods
The main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory. Fault diagnosis theory mainly includes expert system fault diagnosis, fussy fa...
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| Format: | Article |
| Language: | English |
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Zhejiang University Press
2003-03-01
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| Series: | 浙江大学学报. 农业与生命科学版 |
| Subjects: | |
| Online Access: | https://www.academax.com/doi/10.3785/1008-9209.2003.02.0119 |
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| _version_ | 1849247359134859264 |
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| author | HE Yong LI Zeng-fang |
| author_facet | HE Yong LI Zeng-fang |
| author_sort | HE Yong |
| collection | DOAJ |
| description | The main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory. Fault diagnosis theory mainly includes expert system fault diagnosis, fussy fault diagnosis, grey mode fault diagnosis, neural network fault diagnosis, data fusion fault diagnosis and CBR fault diagnosis. The principle and application of each method are introduced and analyzed. Finally, the development trends of fault diagnosis theory are presented. |
| format | Article |
| id | doaj-art-c4a41db0cf2743c0bf25a22dc1b4fa97 |
| institution | Kabale University |
| issn | 1008-9209 2097-5155 |
| language | English |
| publishDate | 2003-03-01 |
| publisher | Zhejiang University Press |
| record_format | Article |
| series | 浙江大学学报. 农业与生命科学版 |
| spelling | doaj-art-c4a41db0cf2743c0bf25a22dc1b4fa972025-08-20T03:58:14ZengZhejiang University Press浙江大学学报. 农业与生命科学版1008-92092097-51552003-03-012911912410.3785/1008-9209.2003.02.011910089209The research and application of intelligent fault diagnosis methodsHE YongLI Zeng-fangThe main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory. Fault diagnosis theory mainly includes expert system fault diagnosis, fussy fault diagnosis, grey mode fault diagnosis, neural network fault diagnosis, data fusion fault diagnosis and CBR fault diagnosis. The principle and application of each method are introduced and analyzed. Finally, the development trends of fault diagnosis theory are presented.https://www.academax.com/doi/10.3785/1008-9209.2003.02.0119fault diagnosisfault model distinguishdata processing |
| spellingShingle | HE Yong LI Zeng-fang The research and application of intelligent fault diagnosis methods 浙江大学学报. 农业与生命科学版 fault diagnosis fault model distinguish data processing |
| title | The research and application of intelligent fault diagnosis methods |
| title_full | The research and application of intelligent fault diagnosis methods |
| title_fullStr | The research and application of intelligent fault diagnosis methods |
| title_full_unstemmed | The research and application of intelligent fault diagnosis methods |
| title_short | The research and application of intelligent fault diagnosis methods |
| title_sort | research and application of intelligent fault diagnosis methods |
| topic | fault diagnosis fault model distinguish data processing |
| url | https://www.academax.com/doi/10.3785/1008-9209.2003.02.0119 |
| work_keys_str_mv | AT heyong theresearchandapplicationofintelligentfaultdiagnosismethods AT lizengfang theresearchandapplicationofintelligentfaultdiagnosismethods AT heyong researchandapplicationofintelligentfaultdiagnosismethods AT lizengfang researchandapplicationofintelligentfaultdiagnosismethods |