Development of a structuring residuals method for diagnostic by PCA-based genetic algorithms

Communications, Computing and Control Applications（2012）

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摘要

In this paper we propose a new method of structuring of residuals for detection and fault localization by the PCA (Principal Component Analysis). This method is based on the multi-objective optimization by genetic algorithms. The principle of this approach is to maximize the sensitivity of some residuals at certain defects and simultaneously minimize the sensitivity of the remaining residuals for other defects. Numerical example is simulated to validate the proposed technique.

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关键词

fault diagnosis,fault tolerance,genetic algorithms,principal component analysis,reliability,pca-based genetic algorithm,fault detection,fault localization,multiobjective optimization,residual sensitivity,structuring residuals method,pca,fault location,model-based fault diagnosis,structuring residuals

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