Research of Grey Incidence Cluster Prediction Analysis Model

摘要：

this paper introduces a model of grey incidence prediction based on minimum distance cluster analysis. Due to the fact that there are too many sub-indexes for performance parameter of automobile engine, cluster analysis is conducted to realize dimension reduction. This model was combined with characteristic performance of automobile engine to attain the degrees of engine performances state for monitoring engine performance. This method finds out the potential forepart fault of engine and prevents the spread of the fault. The result indicates that, the prediction model is better than that of the single models for higher precision and smaller error.

关键词： cluster grey incidence prediction fault diagnosis

作者: Li Dong Kong Lifang Zhao Ying

作者单位: Air Force Logistic Academy Jiangsu Xuzhou 221008, China Air Force Logistic Academy Jiangsu Xuzhou 221008, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 452-455

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）