Yu-ming Liu

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Multiscale classification has potential advantages for monitoring industrial processes generally driven by events in different time and frequency domains. In this study, we adopt stationary wavelet transform for multiscale analysis and propose an applicable scale selection method to obtain the most discriminative scale features. Then using the multiscale(More)
Dynamic principal component analysis(DPCA) is an extension of conventional principal component analysis (PCA) for dealing with multivariate dynamic data. We adopted DPCA to enhance chunk monitoring of an industrial fluidized-bed reactor, overcoming the shortcomings of conventional monitoring schemes. The appropriate methods for application of DPCA were(More)
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