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Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio 被引量:2

Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio
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摘要 Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique is described and demonstrated by analyzing data from both simulated and real plant data of a chemical process plant. Results show that the proposed approach can map multiple oscillatory sources onto the most appropriate control loops,and has superior performance in terms of reconstruction accuracy and intuitive understanding compared with spectral independent component analysis(ICA). Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique is described and demonstrated by analyzing data from both simulated and real plant data of a chemical process plant. Results show that the proposed approach can map multiple oscillatory sources onto the most appropriate control loops,and has superior performance in terms of reconstruction accuracy and intuitive understanding compared with spectral independent component analysis(ICA).
出处 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2007年第3期353-360,共8页 中国化学工程学报(英文版)
基金 Supported by the Scientific Research Foundation for the Returned Overseas Chinese Scholars,State Education Ministry.
关键词 process monitoring multiple oscillations non-negative matrix factorization SPARSE spectral analysis fault isolation 非负频谱分解 厂级多重振荡源 分离 光谱分析
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