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Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio
作者姓名:夏春明  郑建荣  John  Howell
作者单位:[1]Centre for Mcchatronics Engineering, East China University of Science & Technology, Shanghai 200237, China [2]Department of Mechanical Engineering, University of Glasgow, Glasgow G12 8QQ, UK
基金项目:Supported by the Scientific Research Foundation for the Returned 0verseas Chinese Scholars, State Education Ministry. The authors gratefully acknowledge John Cox and Michael Paulonis from Eastman Chemical Company, Kingsport, TN, USA, for the supply of real plant data.
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).

关 键 词:非负频谱分解  厂级多重振荡源  分离  光谱分析
修稿时间:2006-05-152006-12-19

Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio
XIA Chunming, ZHENG Jianrong,John Howell.Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio[J].Chinese Journal of Chemical Engineering,2007,15(3):353-360.
Authors:XIA Chunming  ZHENG Jianrong  John Howell
Abstract:
Keywords:process monitoring  multiple oscillations  non-negative matrix factorization  sparse  spectral analysis  fault isolation
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