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Multiple faults simultaneous diagnosis based on ellipsoidal unit networks for rotating machine

机译:基于椭圆单元网络的旋转机械多故障同时诊断

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摘要

To overcome the limitations of the standard feedforward neural network, a novel neural network (i.e., ellipsoidal unit network) is proposed, which is very available for fault diagnosis applications due to its bounded generalization ad extrapolation. In this paper, the theory and the structure of such a network are described, and the training al- gorithm is given based on standard backpropagation algorithm.
机译:为了克服标准前馈神经网络的局限性,提出了一种新颖的神经网络(即椭圆体单元网络),由于其有局限的泛化和外推法,因此非常适用于故障诊断应用。本文描述了这种网络的理论和结构,并基于标准的反向传播算法给出了训练算法。

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