Abstract
It is found that the sample standard deviation of variance random series can describe the stabilization of equipment performance. Based on the discovery, a fault diagnosis method is presented. It gives a new fault diagnosis characteristic quantity, and constitutes the Mahalanobis distance function for discriminating the fault equipments. Through application in engineering, it is shown that the proposed method can diagnose a kind of failure mode which the traditional method, such as the spectrum analysis and time-frequency analysis, cannot diagnose.
| Original language | English |
|---|---|
| Pages (from-to) | 190-195 |
| Number of pages | 6 |
| Journal | Jixie Qiangdu/Journal of Mechanical Strength |
| Volume | 28 |
| Issue number | 2 |
| State | Published - Apr 2006 |
Keywords
- Failure mode
- Fault characteristic quantity
- Fault diagnosis
- Mahalanobis distance discriminate function
- Sample standard deviation
- Stabilization of equipment performance
Fingerprint
Dive into the research topics of 'Fault diagnosis method based on variance random series'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver