| Citation: | ZHANG Tao, WANG Jinbo, ZHANG Tao, et al. Multi-fault fuzzy diagnosis for complicated system based on grey theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1832-1840. doi: 10.13700/j.bh.1001-5965.2016.0703(in Chinese)
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The failure probability is usually hard to collect for complicated systems in aerospace or nuclear power, which makes fault diagnosis based on Bayesian model inapplicable. By surveying this problem in test space, a novel multi-fault fuzzy diagnosis method based on dependency matrix and grey theory was proposed. A fault-testing dependency matrix was described first, and the fault alarm probability matrix with interest priority was developed. By calculating grey correlation degrees between test vectors and fault feature vectors, suspect faults can be located. Experimental results show that the proposed method can support diagnosis parameters' adjustment and report interested faults first, and the diagnosis conclusion has suitable accuracy, which can meet the practical demand.
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