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A method of aircraft unit fault diagnosis

Haiqiao Wu (Haiqiao Wu is in the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, People's Republic of China)
Yi Liu (Yi Liu is in the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, People's Republic of China)
Yunliang Ding (Yunliang Ding is in the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, People's Republic of China)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 1 February 2003

Abstract

The method for aircraft unit fault diagnosis, which is based on the self‐organising feature map (SOM) artificial neural net and expertise, has been presented in this paper. A fault probability of components, of which an aircraft unit is comprised, is generated by the SOM. The qualitative possibilities that the components of a specific unit may cause a failure were estimated by an expert in natural language. It was converted into numeric value by means of Zadeh's fuzzy logic. Both the fault probability and the expertise value of the specific components have been considered in this method based on SOM too. The technical feasibility of this method has been shown by the example. The method is useful when a model based on the First Principles or a causal model of a diagnostic object is not available. It is also applicable to the fault diagnosis of other complicated electromechanical equipments.

Keywords

Citation

Wu, H., Liu, Y. and Ding, Y. (2003), "A method of aircraft unit fault diagnosis", Aircraft Engineering and Aerospace Technology, Vol. 75 No. 1, pp. 27-32. https://doi.org/10.1108/00022660310457266

Publisher

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MCB UP Ltd

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