摘要
To reduce engine maintenance cost and support safe operation, a prediction method of engine life on wing was proposed. This method is a kind of regression model which is a function of the condition monitoring and failure data. Key causes of engine removals were analyzed, and the life limit due to performance deterioration was predicted by proportional hazards model. Then the scheduled removal causes were considered as constraints of engine life to predicte the finai life on wing. Application of the proposed prediction method to the case of CF6-80C2A5 engine fleet in an airline proved its effectiveness.
To reduce engine maintenance cost and support safe operation, a prediction method of engine life on wing was proposed. This method is a kind of regression model which is a function of the condition monitoring and failure data. Key causes of engine removals were analyzed, and the life limit due to performance deterioration was predicted by proportional hazards model. Then the scheduled removal causes were considered as constraints of engine life to predicte the finai life on wing. Application of the proposed prediction method to the case of CF6-80C2A5 engine fleet in an airline proved its effectiveness.
基金
The joint fundations of National Natural Science Foundation of China and Civil Aviation Administration of China (60672164)
National High-tech Research and Development Program of China (863 Program)(2006AA04Z427)
作者简介
RONG Xiang （1979-）, PhD candidate. His research interest is in civil aviation maintenance management ineluding engine health monitoring and maintenance management. Corresponding author. Tel. ： ＋ 86-25-84895772-803; Fax： ＋86-25-84890647; E-mail： rxgeyu@126, com
