A DECISION SUPPORT SYSTEM FOR EFFICIENT DATA MANAGEMENT, VISUALISATION AND ANALYSIS IN JET ENGINE HEALTH MONITORING

摘要

The effective monitoring and maintenance of a jet engine fleet represents a great challenge. Due to the vast amount of data generated by the engines the use of traditional methods for its analysis is rapidly becoming inadequate and new strategies need to be developed. This paper presents the development and implementation of a new Decision Support System (DSS) for Engine Health Monitoring (EHM). Based on vibration characteristic information of the engines, the presented DSS provides high-level support for diagnosis of occurring events, allowing decisions concerning to necessary maintenance actions to be made more quickly and with more accuracy. The DSS provides 1) an efficient visualisation and fleet data navigation with instant access to historical data, 2) the option to capture, retain and search signatures of interest fleet wide, 3) an automatic diagnosis of occurring events and a relation of suitable maintenance actions to solve them based on a combination of a search across annotated signatures and a fleet wide similar characteristic retrieval with the link to a database of vibration analysis reports. The presented DSS is proving to greatly simplify and improve health monitoring and fault detection practices transforming available data into information relevant for decisionmaking.