An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis
High-precision spindle bearing is one of the most critical and vulnerable parts in a motorized spindle. Its unexpected failure may lead to production loss. Stochastic resonance (SR) is a weak signal detection method, which can obtain noise energy in strong background noise and enhance incipient faul...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9013077/ |
| _version_ | 1818733143627137024 |
|---|---|
| author | Ping Xia Hua Xu Mohan Lei Shenglun Zhang |
| author_facet | Ping Xia Hua Xu Mohan Lei Shenglun Zhang |
| author_sort | Ping Xia |
| collection | DOAJ |
| description | High-precision spindle bearing is one of the most critical and vulnerable parts in a motorized spindle. Its unexpected failure may lead to production loss. Stochastic resonance (SR) is a weak signal detection method, which can obtain noise energy in strong background noise and enhance incipient fault characteristics of spindle bearing. Based on the fact that asymmetry can improve the enhancement ability of asymmetric bistable SR in weak feature extraction, we introduce an underdamped well-width asymmetric bistable SR (UABSR) method to the field of bearing fault diagnosis for the first time. However, the engineering application of UABSR can still be limited by two aspects. Firstly, the SNR index can take effect only when the actual fault frequency is obtained in advance, so the UABSR method is at high-cost in real practices. Secondly, an appropriate band-pass filter band range of the bearing faults can hardly be obtained due to the massive impulsive noise in operations. Here an improved UABSR method for spindle bearing fault diagnosis is proposed. Infogram method is used to process and analysis the original vibration signal for resisting the influence from the impulsive noise and obtaining more accurate frequency range of spindle bearing fault. In addition, time domain zero-crossing (TDZC) index, as the index of the improved UABSR method, can directly reflect the fault characteristics of spindle bearings without knowing the accurate fault characteristic frequency in advance. Besides, the Quantum Genetic Algorithms (QGAs) and the fourth-order Runge-Kutta algorithm are combined to simultaneously obtain the optimal system parameter, the asymmetric ratio, the damping factor and the rescaling factor of the improved UABSR model. Comparing the Infogram and original UABSR methods, the improved UABSR method performs better effect in incipient spindle bearing fault diagnosis. |
| first_indexed | 2024-12-17T23:44:47Z |
| format | Article |
| id | doaj.art-e6142a7fa3a845b891e89e049765e846 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:44:47Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e6142a7fa3a845b891e89e049765e8462022-12-21T21:28:21ZengIEEEIEEE Access2169-35362020-01-018468244683610.1109/ACCESS.2020.29761519013077An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault DiagnosisPing Xia0https://orcid.org/0000-0002-5544-3082Hua Xu1https://orcid.org/0000-0003-0107-8152Mohan Lei2https://orcid.org/0000-0002-5334-5876Shenglun Zhang3https://orcid.org/0000-0001-9800-543XSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaHigh-precision spindle bearing is one of the most critical and vulnerable parts in a motorized spindle. Its unexpected failure may lead to production loss. Stochastic resonance (SR) is a weak signal detection method, which can obtain noise energy in strong background noise and enhance incipient fault characteristics of spindle bearing. Based on the fact that asymmetry can improve the enhancement ability of asymmetric bistable SR in weak feature extraction, we introduce an underdamped well-width asymmetric bistable SR (UABSR) method to the field of bearing fault diagnosis for the first time. However, the engineering application of UABSR can still be limited by two aspects. Firstly, the SNR index can take effect only when the actual fault frequency is obtained in advance, so the UABSR method is at high-cost in real practices. Secondly, an appropriate band-pass filter band range of the bearing faults can hardly be obtained due to the massive impulsive noise in operations. Here an improved UABSR method for spindle bearing fault diagnosis is proposed. Infogram method is used to process and analysis the original vibration signal for resisting the influence from the impulsive noise and obtaining more accurate frequency range of spindle bearing fault. In addition, time domain zero-crossing (TDZC) index, as the index of the improved UABSR method, can directly reflect the fault characteristics of spindle bearings without knowing the accurate fault characteristic frequency in advance. Besides, the Quantum Genetic Algorithms (QGAs) and the fourth-order Runge-Kutta algorithm are combined to simultaneously obtain the optimal system parameter, the asymmetric ratio, the damping factor and the rescaling factor of the improved UABSR model. Comparing the Infogram and original UABSR methods, the improved UABSR method performs better effect in incipient spindle bearing fault diagnosis.https://ieeexplore.ieee.org/document/9013077/Spindle rolling bearingfault diagnosisunderdamped asymmetric bistable stochastic resonancevibration signal analysistime domain zero-crossing index |
| spellingShingle | Ping Xia Hua Xu Mohan Lei Shenglun Zhang An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis IEEE Access Spindle rolling bearing fault diagnosis underdamped asymmetric bistable stochastic resonance vibration signal analysis time domain zero-crossing index |
| title | An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis |
| title_full | An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis |
| title_fullStr | An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis |
| title_full_unstemmed | An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis |
| title_short | An Improved Underdamped Asymmetric Bistable Stochastic Resonance Method and its Application for Spindle Bearing Fault Diagnosis |
| title_sort | improved underdamped asymmetric bistable stochastic resonance method and its application for spindle bearing fault diagnosis |
| topic | Spindle rolling bearing fault diagnosis underdamped asymmetric bistable stochastic resonance vibration signal analysis time domain zero-crossing index |
| url | https://ieeexplore.ieee.org/document/9013077/ |
| work_keys_str_mv | AT pingxia animprovedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT huaxu animprovedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT mohanlei animprovedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT shenglunzhang animprovedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT pingxia improvedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT huaxu improvedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT mohanlei improvedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis AT shenglunzhang improvedunderdampedasymmetricbistablestochasticresonancemethodanditsapplicationforspindlebearingfaultdiagnosis |