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Fault Diagnosis Based on Integrated Multi-Neural Network

机译:基于集成多神经网络的故障诊断

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摘要

Based on task decomposition principle, multi-fault diagnosis is decomposed to multiple single-fault diagnosis tasks. One Single Sub-NN is utilized to solve one single-diagnosis problem. All the Single Sub-NNs are combined organically. Two integrated multi-neural network schemes are proposed in the paper. A unitized fault location algorithm is given. The scheme is utilized to diagnose the missile inertial system's servo-stable loop fault and the result shows that the scheme is effective.
机译:基于任务分解原理,将多故障诊断分解为多个单故障诊断任务。一个单子神经网络被用来解决一个单诊断问题。所有的单个Sub-NN都有机地结合在一起。本文提出了两种集成的多神经网络方案。给出了统一的故障定位算法。利用该方案对导弹惯性系统的伺服稳定环路故障进行诊断,结果表明该方案是有效的。

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