| 故障诊断的神经网络多重模型自适应方法 |
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| 引用本文： | 王镛根,张学峰.故障诊断的神经网络多重模型自适应方法[J].航空动力学报,1997,12(2):152-154,218-219. |
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| 作者姓名： | 王镛根 张学峰 |
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| 作者单位： | 西北工业大学 |
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| 摘 要： | 将神经网络与故障诊断的多重模型自适应方法相结合，提出了故障诊断的神经网络多重模型自适应方法，并对某型航空发动机控制系统传感器故障进行诊断仿真。仿真表明，该方法能够用来解决具有模型不确定性系统的故障诊断问题，同时，对未知的故障模态具有自学习能力
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| 关 键 词： | 神经网络 模型法 故障诊断 |
| 收稿时间： | 4/1/1996 12:00:00 AM |
| 修稿时间： | 6/1/1996 12:00:00 AM |
ANN-BASED MMAF FAILURE DETECTION |
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| Wang Yonggen and Zhang Xuefeng.ANN-BASED MMAF FAILURE DETECTION[J].Journal of Aerospace Power,1997,12(2):152-154,218-219. |
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| Authors: | Wang Yonggen and Zhang Xuefeng |
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| Institution: | 7th Dept.Northwest Polytechnical University, Xi'an 710072;7th Dept.Northwest Polytechnical University, Xi'an 710072 |
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| Abstract: | Artificial neural network(ANN)and Multiple Model Adaptive Filter(MMAF)are combined in a new failure detection method-ANN-based MMAF,which uses ANN's self-learning ability instead of analytical computation of the filter design.Numerical simulations of an areoengine have been performed to detect the sensor failure of the control system.The results show that this method not only can detect the failure of the system with an uncertain model,but also has self-learning ability for the unknown failure pattern. |
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| Keywords: | Neural networks Failure detection Modeling |
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