2015 Fiscal Year Final Research Report
Bearing diagnosis based on chaos time series analysis
| Project/Area Number |
25420188
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Dynamics/Control
|
|---|
| Research Institution | Hiroshima University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Keywords | 異常診断 / 転がり軸受 / カオス時系列解析 |
|---|
| Outline of Final Research Achievements |
The present research investigated bearing diagnoses based on chaos time series analyses. First, rolling fatigue tests were conducted to measure vibration and sound generated by rolling bearings during their lifetime. Then, obtained data were analyzed with chaos time series analyses for the bearing diagnoses. In the diagnoses, the largest Lyapunov exponent analysis and the trajectory parallel measure method were used to identify the change of data. Also, conventional methods, such as skewness, kurtosis, crest factor, and frequency spectra, were calculated for the comparison of diagnosis results. Finally, the effectiveness of chaos time series analyses was confirmed in the bearing diagnoses.
|
| Free Research Field |
機械工学，機械力学
|
