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The condition of the aircraft engine directly affects the reliability and safety of the aircraft. To monitor its condition, many sensors are deployed on or in the aircraft engine. However, only parts of the sensors can provide useful information for failure prognostics. An entropy-based sensor selection method which can provide quantitative description of the information contained in sensor data is...
This paper describes a method for monitoring the condition of reciprocating aircraft engines. In contrast to existing solutions our method is based on information from a single acceleration sensor attached onto the motor block. Model based signal processing using modal analysis and fuzzy logic in a hierarchical estimation scheme enables the possibility to observe engine health level. For each cylinder...
Aircraft Engine Health Management (EHM) System deals with the monitoring, detection, isolation, trend prediction and accommodation of engine degradation, faults, and failures. Minimizing total cost of engine ownership, increasing asset availability/mission readiness and while maintaining or even increasing safety are the key drivers for the implementation of EHM System. This paper investigates the...
Engine condition monitoring and diagnostics are critical for safe, efficient and profitable aircraft operation. Snapshots of sensor measurements are typically used for engine health monitoring. Deviation of those measurements from a reference condition is a key feature for engine fault detection. Measurement noise and sensor failure, however, often contaminate those signals and affect performance...
Jet engine gas path fault diagnosis is not only important in modern condition-based maintenance of aircraft engines, but also a challenging classification problem. Exploring more advanced classification techniques for achieving improved classification performance for gas path fault diagnosis, therefore, has been increasingly active in recent years in PHM community. To that end, in this paper, we apply...
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