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This paper is based on the background of the development of aviation fault diagnosis expert system. To solve the engineering problems of the low interpretation efficiency encountered in the construction of expert system, a reasoning machine based on the combination of Fault Tree (FT) and Generalized Regression Neural Network (GRNN) is brought forward. First, the FT model is built and simplified. Second,...
Rotor is the main part of the engine, the vibration fault is very common in the process of running, it must be monitored, checked, excluded in a timely manner for improving the reliability of engine and aircraft safety. This paper mainly studies four kinds of rotor fault, including unbalance, misalignment, surge, bearing failure. The frequency spectrum of the vibration signal of a rotor system is...
Axis orbit is very important in fault monitoring and diagnosis of rotary machines. However, characteristics of axis orbit have lots of varieties. To support information fusion of characteristics, this paper elaborates the analysis and comparison of 22 characteristics of axis orbit for the on-line fault pattern recognition. The stability, sensibility and validity of different characteristics are analyzed...
In machinery condition monitoring, weak signal is a type of signal that has very low signal-to-noise ratio (SNR). Therefore, it is necessary to develop effective methods so as to enhance or extract useful information from the noisy signal. These methods aim to solve the problem of de-noising and separation of mixed-signal. This paper investigated the current progress on weak signal detection methods,...
In this paper, a multiple fault diagnosis method based on case-based reasoning (CBR) is presented. And the characteristics of multiple fault modes are studied, then the case knowledge library is established for multiple faults, finally a two-step case retrieval strategy is proposed. The candidate case generation method based on the membership weights is employed to initially retrieve, which can reduce...
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...
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