Intelligent Process Trend Recognition Fault Diagnosis and Industrial Application
An intelligent process monitoring approach, which consists of process trend recognition and fault detection, is presented in this paper. This method incorporates wavelet transform, symbolic representation of data trend, pattern recognition, and Hidden Markov model (HMM) for intelligent reasoning. A simulation example and an industrial case study have shown the value of this approach.
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