Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations
Process models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid response, it is important to study robust sensor data representation schemes. However, the conventional holospectrum defined by one-dimensiona...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/5710152 |
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| _version_ | 1832553029909348352 |
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| author | Xiaoni Dong Xiaodong Zhang Zaichao Ma Guangrui Wen Zhifen Zhang |
| author_facet | Xiaoni Dong Xiaodong Zhang Zaichao Ma Guangrui Wen Zhifen Zhang |
| author_sort | Xiaoni Dong |
| collection | DOAJ |
| description | Process models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid response, it is important to study robust sensor data representation schemes. However, the conventional holospectrum defined by one-dimensional or two-dimensional methods does not sufficiently present this information in both the frequency and time domains. To supply a complete holospectrum model, a new three-dimensional spatial representation method is proposed. This method integrates improved three-dimensional (3D) holospectra and 3D filtered orbits, leading to the integration of radial and axial vibration features in one bearing section. The results from simulation and experimental analysis on a complex compressor show that the proposed method can present the real operational status and clearly reveal early faults, thus demonstrating great potential for condition-based maintenance prediction in industrial machinery. |
| format | Article |
| id | doaj-art-087db9b2073f414bb31c15f24a0ce451 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-087db9b2073f414bb31c15f24a0ce4512025-02-03T05:57:08ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/57101525710152Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial RepresentationsXiaoni Dong0Xiaodong Zhang1Zaichao Ma2Guangrui Wen3Zhifen Zhang4School of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, ChinaProcess models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid response, it is important to study robust sensor data representation schemes. However, the conventional holospectrum defined by one-dimensional or two-dimensional methods does not sufficiently present this information in both the frequency and time domains. To supply a complete holospectrum model, a new three-dimensional spatial representation method is proposed. This method integrates improved three-dimensional (3D) holospectra and 3D filtered orbits, leading to the integration of radial and axial vibration features in one bearing section. The results from simulation and experimental analysis on a complex compressor show that the proposed method can present the real operational status and clearly reveal early faults, thus demonstrating great potential for condition-based maintenance prediction in industrial machinery.http://dx.doi.org/10.1155/2016/5710152 |
| spellingShingle | Xiaoni Dong Xiaodong Zhang Zaichao Ma Guangrui Wen Zhifen Zhang Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations Shock and Vibration |
| title | Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations |
| title_full | Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations |
| title_fullStr | Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations |
| title_full_unstemmed | Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations |
| title_short | Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations |
| title_sort | research on a rotating machinery fault prognosis method using three dimensional spatial representations |
| url | http://dx.doi.org/10.1155/2016/5710152 |
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