REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL
With the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is the key problem to improve reliability of equi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2017-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.004 |
| _version_ | 1797767868342861824 |
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| author | JI Yun WANG Heng ZHU LongBiao HUANG Xi |
| author_facet | JI Yun WANG Heng ZHU LongBiao HUANG Xi |
| author_sort | JI Yun |
| collection | DOAJ |
| description | With the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is the key problem to improve reliability of equipment operation. HMM has double random process properties that could describe the hidden state and observed state,it is similar to the equipment degradation processes that become a hot research topic now. On various methods based on the fault identification and diagnosis technology, the equipment fault prognostics methods based on hidden Markov model and hidden semi-Markov model are summarized, advantages and disadvantages of each method are analyst and compared. Finally,its development trend on equipment degradation assessment and prognostics is pointed out. |
| first_indexed | 2024-03-12T20:45:14Z |
| format | Article |
| id | doaj.art-7d97f7b72d804520b6e0055f4ada225a |
| institution | Directory Open Access Journal |
| issn | 1001-9669 |
| language | zho |
| last_indexed | 2024-03-12T20:45:14Z |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj.art-7d97f7b72d804520b6e0055f4ada225a2023-08-01T07:44:39ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-013951151730598710REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODELJI YunWANG HengZHU LongBiaoHUANG XiWith the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is the key problem to improve reliability of equipment operation. HMM has double random process properties that could describe the hidden state and observed state,it is similar to the equipment degradation processes that become a hot research topic now. On various methods based on the fault identification and diagnosis technology, the equipment fault prognostics methods based on hidden Markov model and hidden semi-Markov model are summarized, advantages and disadvantages of each method are analyst and compared. Finally,its development trend on equipment degradation assessment and prognostics is pointed out.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.004Fault diagnosis;Degradation assessment and prognostics;Hidden Markov model;Hidden semi-Markov model |
| spellingShingle | JI Yun WANG Heng ZHU LongBiao HUANG Xi REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL Jixie qiangdu Fault diagnosis;Degradation assessment and prognostics;Hidden Markov model;Hidden semi-Markov model |
| title | REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL |
| title_full | REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL |
| title_fullStr | REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL |
| title_full_unstemmed | REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL |
| title_short | REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL |
| title_sort | review on operation state assessment and prognostics for mechanical equipment based on hidden markov model |
| topic | Fault diagnosis;Degradation assessment and prognostics;Hidden Markov model;Hidden semi-Markov model |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.004 |
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