A knowledge driven approach to aerospace condition monitoring

作者:

Highlights:

摘要

Aircraft operators are continually striving to reduce both the amount and the cost of aircraft maintenance. Whilst at the same time ensuring that the aircraft safety, reliability and integrity are not compromised. One solution which has seen a lot of attention is known as condition monitoring. The aim of condition monitoring is to develop the ability to detect, diagnose and locate damage, even predicting the remaining useful life of the structure or system. There are difficulties associated with developing aerospace condition monitoring which transcends technical, financial and regulatory. Aerospace legislation requires that any decisions on maintenance, safety and flightworthiness to be auditable and data patterns to relate to known information. The use of data, physical models and knowledge approaches can individually produce reliable health related decisions, but the fusing of these different solutions within an appropriate framework will enhance the intelligence in the decision making process. This paper reviews such a framework and design methodology being used for the development of knowledge based condition monitoring systems for aircraft landing gear actuators.

论文关键词:Condition monitoring,Data fusion,Maintenance,Expert systems,Landing gears

论文评审过程:Received 6 October 2010, Revised 11 April 2011, Accepted 11 April 2011, Available online 15 April 2011.

论文官网地址:https://doi.org/10.1016/j.knosys.2011.04.008