Abstract
Considering the fact that traditional fault diagnosis can’t absorb human’s experiences well, this paper simulated the procedure of expert’s interference with fuzzy interference to build a fault diagnosis model, and use fuzzy network to improve the model. The result of simulation proved that this model can absorb the experiences of human and make accurate judgments; the trained fuzzy network has the same function and can reach the self-learning demand.
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Qu, D., Cheng, J., Dong, W., Zhang, R. (2010). On Fuzzy Diagnosis Model of Plane’s Revolution Swing Fault and Simulation Researches. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_4
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DOI: https://doi.org/10.1007/978-3-642-13498-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
Online ISBN: 978-3-642-13498-2
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