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Nonlinear neural network fault detection system and method

机译:非线性神经网络故障检测系统及方法

摘要

A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships. The fault detection system uses a neural network to perform a data representation and feature extraction where the extracted features are analogous to principal components derived in a principal component analysis. This neural network data representation analysis can then be used to determine the likelihood of a fault in the system.
机译:提供了一种用于故障检测的系统和方法。故障检测系统提供了检测涡轮发动机和其他具有非线性关系的机械系统中故障症状的能力。故障检测系统使用神经网络执行数据表示和特征提取,其中提取的特征类似于在主成分分析中得出的主成分。然后可以使用这种神经网络数据表示分析来确定系统中发生故障的可能性。

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