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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2000, Vol. 21 ›› Issue (4): 372-375.

• 论文 • Previous Articles     Next Articles

APPLICATION OF DOUBLE BP NETWORK IN DEBRIS IDENTIFICATION

ZUO Hong fu1, WU Zhen feng1, YANG Zhong2   

  1. 1. Department of Mechanical Engineering, Nanjing Univ. of Aero. and Astro., Nanjing 210016, China;2. Nanjing Institute of Electric Power, Nanjing 210008, China
  • Received:1999-04-20 Revised:1999-09-03 Online:2000-08-25 Published:2000-08-25

Abstract: A set of morphology descriptors of debris is presented to describe the micro feature of wear particles, and the program to auto identify wear particles by means of artificial neural network (ANN) technique is compiled. During training the network, the fuzzified factor based training technique given out in this paper is used, and the training process is accelerated rapidly. When the network is used to identify the wear particles, the identifying accuracy is higher than 90%, and the identifying speed is very fast. The method by far excels the traditional ones.

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