Fault detection and identification are challenging tasks in chemical processes, the aim of which is to decide out of control samples and find fault sensors timely and effectively. This paper develops a partitioning pr...Fault detection and identification are challenging tasks in chemical processes, the aim of which is to decide out of control samples and find fault sensors timely and effectively. This paper develops a partitioning principal component analysis(PPCA) method for process monitoring. A variable reasoning strategy is proposed and applied to recognize multiple fault variables. Compared with traditional process monitoring methods, the PPCA strategy not only reflects the local behavior of process variation in each model(each direction of principal components),but also improves the monitoring performance through the combination of local monitoring results. Then, a variable reasoning strategy is introduced to locate fault variables. Unlike the contribution plot, this method locates normal and fault variables effectively, and gives initiatory judgment for ambiguous variables. Finally, the effectiveness of the proposed process monitoring and fault variable identification schemes is verified through a numerical example and TE chemical process.展开更多
To get the IR spectrums of Agrimonia Pilosa Ledeb （APL） from China and Japan areas, and to fend out the characters of IR spectrums through the content of different chemical constituents, to provide a fast and effect...To get the IR spectrums of Agrimonia Pilosa Ledeb （APL） from China and Japan areas, and to fend out the characters of IR spectrums through the content of different chemical constituents, to provide a fast and effective analysis method monitor the inherent qualities of traditional Chinese medicine-APL. Fourier Transform Infrared Spectroscopy （FT-IR） was applied to detect sample of APL from Ofina and Japan areas. This study showed that the IR spectra of APL from China and Japan areas have their unique IR fingerprint features. The contents of tannin and calcitum phosphate in APL from China is different APL from Japan. So FF-IR is a very quick, effective and well repetitive method for monitoring and distinguishing the traditional Chinese medicine.展开更多
基金Supported by the National Natural Science Foundation of China(61374137,61490701,61174119)the State Key Laboratory of Integrated Automation of Process Industry Technology and Research Center of National Metallurgical Automation Fundamental Research Funds(2013ZCX02-03)
文摘Fault detection and identification are challenging tasks in chemical processes, the aim of which is to decide out of control samples and find fault sensors timely and effectively. This paper develops a partitioning principal component analysis(PPCA) method for process monitoring. A variable reasoning strategy is proposed and applied to recognize multiple fault variables. Compared with traditional process monitoring methods, the PPCA strategy not only reflects the local behavior of process variation in each model(each direction of principal components),but also improves the monitoring performance through the combination of local monitoring results. Then, a variable reasoning strategy is introduced to locate fault variables. Unlike the contribution plot, this method locates normal and fault variables effectively, and gives initiatory judgment for ambiguous variables. Finally, the effectiveness of the proposed process monitoring and fault variable identification schemes is verified through a numerical example and TE chemical process.
基金supported by Research Foundation for Science and Technology Innovation Talents of Harbin(2010RFQXS072)Scientific Research Foundation for the Returned Overseas Chinese Scholars of Heilongjiang Province of China(200923)
文摘To get the IR spectrums of Agrimonia Pilosa Ledeb （APL） from China and Japan areas, and to fend out the characters of IR spectrums through the content of different chemical constituents, to provide a fast and effective analysis method monitor the inherent qualities of traditional Chinese medicine-APL. Fourier Transform Infrared Spectroscopy （FT-IR） was applied to detect sample of APL from Ofina and Japan areas. This study showed that the IR spectra of APL from China and Japan areas have their unique IR fingerprint features. The contents of tannin and calcitum phosphate in APL from China is different APL from Japan. So FF-IR is a very quick, effective and well repetitive method for monitoring and distinguishing the traditional Chinese medicine.
