论文信息 - Application of wavelets and neural networks to diagnostic system development, 2, an integrated framework and its application

Application of wavelets and neural networks to diagnostic system development, 2, an integrated framework and its application

Abstract A method for feature extraction from process dynamic transient signals using wavelet multiscale analysis was introduced in part 1 of this paper. In part 2 we describe an integrated framework combining wavelet feature extraction and an unsupervised neural network for identification of operational states. Application of the system to a refinery residual fluid catalytic cracking process is also presented.

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