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Big data plays an increasingly important role in aircraft integrated health management. This paper introduces the aircraft health management cloud platform, fault feature extraction methods based on deep learning and fault rules network construction, optimization and division.
the coupling and correlation degree between aircraft systems is higher, and the diagnosis and prognosis of aircraft are more complex. Building a platform for storing and analyzing the aviation big data becomes an important task for civil aviation. This paper proposes a civil aircraft health management big data architecture. The civil aircraft health management system includes airborne PHM, ground...
Support vector machine (SVM) has good generalization performance and is suitable for solving small sample classification problems, so it is often used in the fault diagnosis for aero engine gas path. In this paper, the traditional genetic algorithm and the idea of simulated annealing are combined to optimize the parameters of SVM, and a fault diagnosis method of aero engine gas path based on parameter...
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...
According to the characteristics of aviation engine starting process, this paper mainly analyzes state parameters of the starting process, and establishes its mathematical model. On the basis of using the SIMULINK to simulate aviation engine starting system, some fault conditions are tested to obtain fault data, and the principal component analysis (PCA) is used for data dimension reduction and to...
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...
Nowadays the mode of periodic maintenance and routine check are adopted as the dominating maintenance style of domestic aircraft. However, this mode requires a large number of experienced professionals, resulting in the waste of manpower and resources. In this paper, taking the flight data of a certain type of aircraft as the main data source, a fault diagnosis reasoning expert system based on failure...
Nowadays, aviation is getting more necessary for our daily life. Airplane is becoming an important method of passenger transport and cargo transport. Integrated health management of airplanes strongly influences the maintenance efficiency of civil fleets and military fleets as wells as drone fleets. This paper proposes a framework of airplane integrated health management that provides integrated health...
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