Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method
Methods based on vibration analysis are currently regarded as the most conclusive means for fault diagnosis and health prognostics in rotary machinery. However, changing working conditions mean that the vibration signals originating from rotary machinery exhibit different levels of complexity. This...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/5584327 |
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| _version_ | 1832550840868536320 |
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| author | Yong Chen Mian Jiang Kuanfang He |
| author_facet | Yong Chen Mian Jiang Kuanfang He |
| author_sort | Yong Chen |
| collection | DOAJ |
| description | Methods based on vibration analysis are currently regarded as the most conclusive means for fault diagnosis and health prognostics in rotary machinery. However, changing working conditions mean that the vibration signals originating from rotary machinery exhibit different levels of complexity. This complexity leads to increased difficulty in constructing health indicators (HIs). In this paper, we propose a multiscale Tsallis permutation entropy (MTPE) to construct the HIs of rotary machinery under different working conditions. MTPE values are a function of an entropy index and scale, which have the universality for handling the complexity of a permutated time series. The health condition of the rotary machinery was effectively represented by the MTPEs in conditional monitoring; the initial point of the unhealthy stage was found using the 3σ interval. This was set as the alarm threshold according to the varying HI trend. Once this was established, dividing the stages into two-stage health stages (HS) was straightforward. Using a rolling bearing, a run-to-failure experiment was conducted and results suggested that the proposed method effectively assessed the status of the rotary machinery. Taken together, this study provided a novel complexity measure based on a methodology for constructing the HIs of rotary machinery and enriches conditional monitoring theory. |
| format | Article |
| id | doaj-art-74234ca9adee485e87838f9a577a58a5 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-74234ca9adee485e87838f9a577a58a52025-02-03T06:05:43ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/55843275584327Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy MethodYong Chen0Mian Jiang1Kuanfang He2Foshan University, School of Mechatronics Engineering and Automation, Foshan, ChinaFoshan University, School of Mechatronics Engineering and Automation, Foshan, ChinaFoshan University, School of Mechatronics Engineering and Automation, Foshan, ChinaMethods based on vibration analysis are currently regarded as the most conclusive means for fault diagnosis and health prognostics in rotary machinery. However, changing working conditions mean that the vibration signals originating from rotary machinery exhibit different levels of complexity. This complexity leads to increased difficulty in constructing health indicators (HIs). In this paper, we propose a multiscale Tsallis permutation entropy (MTPE) to construct the HIs of rotary machinery under different working conditions. MTPE values are a function of an entropy index and scale, which have the universality for handling the complexity of a permutated time series. The health condition of the rotary machinery was effectively represented by the MTPEs in conditional monitoring; the initial point of the unhealthy stage was found using the 3σ interval. This was set as the alarm threshold according to the varying HI trend. Once this was established, dividing the stages into two-stage health stages (HS) was straightforward. Using a rolling bearing, a run-to-failure experiment was conducted and results suggested that the proposed method effectively assessed the status of the rotary machinery. Taken together, this study provided a novel complexity measure based on a methodology for constructing the HIs of rotary machinery and enriches conditional monitoring theory.http://dx.doi.org/10.1155/2021/5584327 |
| spellingShingle | Yong Chen Mian Jiang Kuanfang He Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method Shock and Vibration |
| title | Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method |
| title_full | Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method |
| title_fullStr | Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method |
| title_full_unstemmed | Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method |
| title_short | Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method |
| title_sort | performance degradation assessment of rotary machinery based on a multiscale tsallis permutation entropy method |
| url | http://dx.doi.org/10.1155/2021/5584327 |
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