Abstract
An oil analysis database of the power-shift-steering-transmission (PSST) on road test was set up. By the rough-set's information reduction and dealing with the imprecise, half-baked, inconsistent data and the neural network's linearity approximate and pattern recognition, we set up the rough-set neural network(RSNN) model. Appling this model on the pattern recognition of the power-shift-steering-transmission and the satisfactory diagnosis results were obtained. This method offers new method and idea on the machinery fault diagnosis for the half-baked information.
| Original language | English |
|---|---|
| Pages (from-to) | 78-81 |
| Number of pages | 4 |
| Journal | Zhongguo Jixie Gongcheng/China Mechanical Engineering |
| Volume | 17 |
| Issue number | SUPPL. 2 |
| Publication status | Published - Aug 2006 |
Keywords
- Fault diagnosis
- Information fusion
- Power-shift -steering-transmission
- Rough-set neural network
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Zheng, C., Ma, B., Li, H., & Lu, H. (2006). Rough-set neural network based fault diagnosis on power-shift-steering-transmission. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 17(SUPPL. 2), 78-81.