Weak fault detection with a two-stage key frequency focusing model.
Dawei Gao1, Yongsheng Zhu1, Wei Kang1
1Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, China.
ISA Transactions
|June 22, 2021
Summary
This study introduces a novel two-stage model for early fault detection in bearings, significantly improving performance in noisy conditions. The method enhances mechanical equipment safety by accurately identifying weak faults.
Area of Science:
- Mechanical Engineering
- Signal Processing
- Artificial Intelligence
Background:
- Early fault detection in bearings is crucial for preventing mechanical equipment failure.
- Existing diagnosis methods struggle with noise interference, limiting their effectiveness.
- Incomplete investigation of signal characteristics hinders accurate fault detection.
Purpose of the Study:
- To develop an advanced weak fault detection method for early bearing failure.
- To address the challenges posed by noise interference in fault diagnosis.
- To improve the comprehensive performance of bearing fault detection systems.
Main Methods:
- A novel two-stage key frequency focusing model was designed.
- Systematic consideration of translation invariance in the time domain.
- Systematic consideration of translation variance in the frequency domain.
Main Results:
- The designed network demonstrated superior performance on four constructed datasets.
- The method effectively detects weak faults even in the presence of significant noise.
- Comparative analysis showed the proposed model outperforms state-of-the-art methods.
Conclusions:
- The two-stage key frequency focusing model offers a robust solution for early bearing fault diagnosis.
- The approach enhances the reliability of mechanical equipment monitoring.
- Further investigation into signal characteristics combined with advanced models is promising.
Keywords:
Fault diagnosisFrequency focusingTranslation invarianceTranslation varianceWeak-fault related featuresMore Related Videos
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