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

摘要

A method for feature extraction from process dynamic transient signals using wavelet multiscale analysis was introduced in part 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. (C) 1999 Elsevier Science Ltd. All rights reserved.