Optimization of Diesel Engine Based on the Dependency of Rough Set Theory
Jing Yi Tian, Ye Yang, Si Zhang, Wen Jing Zhao · Advanced materials research · 2013
To get an effective way of monitoring the diesel engine vibration signal, the author puts forward an optimized method based on rough set attribute dependency. Decision table formed by different data collection form, their decision attribute dependence of condition is different, by comparing the different points of attribute dependence and take it as the quality criteria of measuring points, we can realize the optimization of measuring points. Take a high power diesel engine as an example, the site of rough set theory are used to calculate the typical attribute dependence, the results show that the method can effectively distinguish between different measuring point position and the sensitive degree of different fault types, the vibration signal monitoring position, with better effect is obtained at the same time reducing the effects of noise on fault diagnosis, to improve the accuracy and efficiency of fault diagnosis.