Time—window Complexity and its Application in the Fault Diagnosis of Bearing
Different from conventional spectral method, complexity analysis treaded with the signals’ time domain structure feature. Before, due to the no stationary and the unevenness of state space of mechanical signals, the state information is likely to get a loss. Now, the time-window complexity is propos...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20166302046 |
| _version_ | 1828888063671009280 |
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| author | Jiang Pei Gao Liang |
| author_facet | Jiang Pei Gao Liang |
| author_sort | Jiang Pei |
| collection | DOAJ |
| description | Different from conventional spectral method, complexity analysis treaded with the signals’ time domain structure feature. Before, due to the no stationary and the unevenness of state space of mechanical signals, the state information is likely to get a loss. Now, the time-window complexity is proposed to overcome certain limitations of complexity itself in some extent. It will help to extract the state features of mechanical systems in different states. The concept and algorithm of time-window complexity is introduced detailed. The way of applying the time-window complexity for fault diagnosis is discussed. The mechanical signals of ball bearing with slight flaw and that of four kinds of impact-rubbing states of a typical rotor are then studied. The results show that time-window complexity can reflect the early fault of ball bearing, and differentiate the four kinds of rotor impact-rubbing states properly, which provides another effective way for fault diagnosis of mechanical systems. |
| first_indexed | 2024-12-13T12:15:55Z |
| format | Article |
| id | doaj.art-731edb394186419eb56ba3f97145abfa |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-13T12:15:55Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-731edb394186419eb56ba3f97145abfa2022-12-21T23:46:43ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01630204610.1051/matecconf/20166302046matecconf_mmme2016_02046Time—window Complexity and its Application in the Fault Diagnosis of BearingJiang Pei0Gao Liang1Post doctoral mobile station of mechanical engineering, Huazhong University of Science and TechnologyPost doctoral mobile station of mechanical engineering, Huazhong University of Science and TechnologyDifferent from conventional spectral method, complexity analysis treaded with the signals’ time domain structure feature. Before, due to the no stationary and the unevenness of state space of mechanical signals, the state information is likely to get a loss. Now, the time-window complexity is proposed to overcome certain limitations of complexity itself in some extent. It will help to extract the state features of mechanical systems in different states. The concept and algorithm of time-window complexity is introduced detailed. The way of applying the time-window complexity for fault diagnosis is discussed. The mechanical signals of ball bearing with slight flaw and that of four kinds of impact-rubbing states of a typical rotor are then studied. The results show that time-window complexity can reflect the early fault of ball bearing, and differentiate the four kinds of rotor impact-rubbing states properly, which provides another effective way for fault diagnosis of mechanical systems.http://dx.doi.org/10.1051/matecconf/20166302046ComplexityRolling bearingRotor rubEarly fault diagnosis |
| spellingShingle | Jiang Pei Gao Liang Time—window Complexity and its Application in the Fault Diagnosis of Bearing MATEC Web of Conferences Complexity Rolling bearing Rotor rub Early fault diagnosis |
| title | Time—window Complexity and its Application in the Fault Diagnosis of Bearing |
| title_full | Time—window Complexity and its Application in the Fault Diagnosis of Bearing |
| title_fullStr | Time—window Complexity and its Application in the Fault Diagnosis of Bearing |
| title_full_unstemmed | Time—window Complexity and its Application in the Fault Diagnosis of Bearing |
| title_short | Time—window Complexity and its Application in the Fault Diagnosis of Bearing |
| title_sort | time window complexity and its application in the fault diagnosis of bearing |
| topic | Complexity Rolling bearing Rotor rub Early fault diagnosis |
| url | http://dx.doi.org/10.1051/matecconf/20166302046 |
| work_keys_str_mv | AT jiangpei timewindowcomplexityanditsapplicationinthefaultdiagnosisofbearing AT gaoliang timewindowcomplexityanditsapplicationinthefaultdiagnosisofbearing |