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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2016, Vol. 37 ›› Issue (4): 1174-1183.doi: 10.7527/S1000-6893.2015.0187

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Fusion diagnosis method based on neighboring modular weighted D-S

HU Jinhai1,2, XIA Chao1, PENG Jingbo1, ZHANG Yu1, REN Litong1   

  1. 1. Aeronautics and Astronautics Engineering Institute, Air Force Engineering University, Xi'an 710038, China;
    2. Co-Innovation Center for Advanced Aero-Engine, Beijing 100083, China
  • Received:2015-04-01 Revised:2015-06-17 Online:2016-04-15 Published:2015-08-03
  • Supported by:

    National Natural Science Foundation of China (51105374);Aeronautical Science Foundation of China (20142196019);Natural Science Basic Research Plan in Shaanxi Province of China (2015JM5207)

Abstract:

The traditional Dempster-Shafter (D-S) method has disadvantages in dealing with the sensors fusion problems whose decision results are highly deviated and contradicted; therefore, it will also fail in the fusion diagnosis of rotor weak fault in the situation of high information conflict. According to the related ideas and concepts of opinion propagation of complex network, social learning theory and consensus decision of multi-agent, and with a focus on avoiding the direct fusion of the sensors which have great conflict, this paper proposes a new fusion diagnosis method based on neighboring modular weighted D-S. Firstly, we judge whether the sensors are adjacent to each other based on the preliminary results. Only for the neighboring sensors whose distance is within the limited range can the fusion be carried out. For the neighboring sensors which are in the same module, we carry out the fusion based on weighted D-S fusion method according to the preliminary decision results and the weights of different sensors. Subsequently, according to the obtained fusion result, we carry out the module division and fusion again. We repeat the above steps until all the nodes and modules are not neighboring, then output the decision result of a module, whose weights' summation is the maximum. Finally, we use expert authority's decision method to determine the final weight and fusion result, which are used as the consensus decision result of the sensor network. The method is tested through a simulation test of rotor fault and it proves that the presented method can effectively deal with the fusion diagnosis of rotor weak fault in the situation of fusion diagnosis of rotor weak fault with high information conflict.

Key words: aeroengine, weak fault, Dempster-Shafter fusion diagnosis, neighboring nods, modular weighting

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