Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant
Gear and bearing play an important role as key components of rotating machinery power transmission systems in nuclear power plants. Their state conditions are very important for safety and normal operation of entire nuclear power plant. Vibration based condition monitoring is more complicated for th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Science and Technology of Nuclear Installations |
| Online Access: | http://dx.doi.org/10.1155/2015/460131 |
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| author | Xinghui Zhang Jianshe Kang Lei Xiao Jianmin Zhao |
| author_facet | Xinghui Zhang Jianshe Kang Lei Xiao Jianmin Zhao |
| author_sort | Xinghui Zhang |
| collection | DOAJ |
| description | Gear and bearing play an important role as key components of rotating machinery power transmission systems in nuclear power plants. Their state conditions are very important for safety and normal operation of entire nuclear power plant. Vibration based condition monitoring is more complicated for the gear and bearing of planetary gearbox than those of fixed-axis gearbox. Many theoretical and engineering challenges in planetary gearbox fault diagnosis have not yet been resolved which are of great importance for nuclear power plants. A detailed vibration condition monitoring review of planetary gearbox used in nuclear power plants is conducted in this paper. A new fault diagnosis method of planetary gearbox gears is proposed. Bearing fault data, bearing simulation data, and gear fault data are used to test the new method. Signals preprocessed using dilation-erosion gradient filter and fast Fourier transform for fault information extraction. The length of structuring element (SE) of dilation-erosion gradient filter is optimized by alpha stable distribution. Method experimental verification confirmed that parameter alpha is superior compared to kurtosis since it can reflect the form of entire signal and it cannot be influenced by noise similar to impulse. |
| format | Article |
| id | doaj-art-320cbe696a744d42b8388a1fbb46e3b6 |
| institution | Kabale University |
| issn | 1687-6075 1687-6083 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Science and Technology of Nuclear Installations |
| spelling | doaj-art-320cbe696a744d42b8388a1fbb46e3b62025-02-03T01:02:01ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832015-01-01201510.1155/2015/460131460131Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power PlantXinghui Zhang0Jianshe Kang1Lei Xiao2Jianmin Zhao3Mechanical Engineering College, Shijiazhuang 050003, ChinaMechanical Engineering College, Shijiazhuang 050003, ChinaThe State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400030, ChinaMechanical Engineering College, Shijiazhuang 050003, ChinaGear and bearing play an important role as key components of rotating machinery power transmission systems in nuclear power plants. Their state conditions are very important for safety and normal operation of entire nuclear power plant. Vibration based condition monitoring is more complicated for the gear and bearing of planetary gearbox than those of fixed-axis gearbox. Many theoretical and engineering challenges in planetary gearbox fault diagnosis have not yet been resolved which are of great importance for nuclear power plants. A detailed vibration condition monitoring review of planetary gearbox used in nuclear power plants is conducted in this paper. A new fault diagnosis method of planetary gearbox gears is proposed. Bearing fault data, bearing simulation data, and gear fault data are used to test the new method. Signals preprocessed using dilation-erosion gradient filter and fast Fourier transform for fault information extraction. The length of structuring element (SE) of dilation-erosion gradient filter is optimized by alpha stable distribution. Method experimental verification confirmed that parameter alpha is superior compared to kurtosis since it can reflect the form of entire signal and it cannot be influenced by noise similar to impulse.http://dx.doi.org/10.1155/2015/460131 |
| spellingShingle | Xinghui Zhang Jianshe Kang Lei Xiao Jianmin Zhao Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant Science and Technology of Nuclear Installations |
| title | Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant |
| title_full | Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant |
| title_fullStr | Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant |
| title_full_unstemmed | Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant |
| title_short | Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant |
| title_sort | alpha stable distribution based morphological filter for bearing and gear fault diagnosis in nuclear power plant |
| url | http://dx.doi.org/10.1155/2015/460131 |
| work_keys_str_mv | AT xinghuizhang alphastabledistributionbasedmorphologicalfilterforbearingandgearfaultdiagnosisinnuclearpowerplant AT jianshekang alphastabledistributionbasedmorphologicalfilterforbearingandgearfaultdiagnosisinnuclearpowerplant AT leixiao alphastabledistributionbasedmorphologicalfilterforbearingandgearfaultdiagnosisinnuclearpowerplant AT jianminzhao alphastabledistributionbasedmorphologicalfilterforbearingandgearfaultdiagnosisinnuclearpowerplant |