On Fault Prediction Model for A320 Aircraft Air Conditioning System

摘要：

Fault prediction is of great importance to maintain the aircraft air conditioning system. Traditional CM (1,1) prediction model could be used only in the sequences with more obvious exponential characters. Considering the parameters of aircraft air conditioning system are fluctuant, this paper improves the traditional GM (1,1) prediction model and builds a prediction model under small sample circumstance. The improvement prediction model introduces an operator of 3-point to dispose of the original fluctuant sequences and corrects the background sequences using a new method. The predicted sequence of the water extractor A320 air conditioning system shows that the improvement prediction mode satisfies the accuracy requirement and it is validated.

关键词： Aircraft Air Conditioning GM (1,1) prediction model fault prediction fluctuant sequence

作者: Zeng Xuefeng Deng Jianqian Chen Jingjie Geng Hong

作者单位: College of Aeronautical Automation Civil Aviation University of China Tianjin, China Aircraft Mainte College of Aeronautical Automation Civil Aviation University of China Tianjin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 231-234

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）