Fault Diagnosis for Batch Processes by Improved Multi-model Fisher Discriminant Analysis
Since there are not enough fault data in historical data sets, it is very difficult to diagnose faults for batch processes. In addition, a complete batch trajectory can be obtained till the end of its operation. In order to overcome the need for estimated or filled up future unmeasured values in the...
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| Published in | Chinese journal of chemical engineering Vol. 14; no. 3X; pp. 343 - 348 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.06.2006
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1004-9541 2210-321X |
| DOI | 10.1016/S1004-9541(06)60081-5 |
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| Abstract | Since there are not enough fault data in historical data sets, it is very difficult to diagnose faults for batch processes. In addition, a complete batch trajectory can be obtained till the end of its operation. In order to overcome the need for estimated or filled up future unmeasured values in the online fault diagnosis, sufficiently utilize the finite information of faults, and enhance the diagnostic performance, an improved multi-model Fisher discriminant analysis is represented. The trait of the proposed method is that the training data sets are made of the current measured information and the past major discriminant information, and not only the current information or the whole batch data. An industrial typical multi-stage streptomycin fermentation process is used to test the performance of fault diagnosis of the proposed method. |
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| AbstractList | Since there are not enough fault data in historical data sets, it is very difficult to diagnose faults for batch processes. In addition, a complete batch trajectory can be obtained till the end of its operation. In order to overcome the need for estimated or filled up future unmeasured values in the online fault diagnosis, sufficiently utilize the finite information of faults, and enhance the diagnostic performance, an improved multi-model Fisher discriminant analysis is represented. The trait of the proposed method is that the training data sets are made of the current measured information and the past major discriminant information, and not only the current information or the whole batch data. An industrial typical multi-stage streptomycin fermentation process is used to test the performance of fault diagnosis of the proposed method. |
| Author | 蒋丽英 谢磊 王树青 |
| AuthorAffiliation | National Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Shenyang Institute of Aeronautical Engineering Shenyang 110034 China National Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China |
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| Cites_doi | 10.1016/S0169-7439(99)00061-1 10.1111/j.1469-1809.1936.tb02137.x 10.1016/S0009-2509(01)00366-9 10.1002/aic.690400809 10.1016/S0169-7439(98)00024-0 10.1002/aic.690420810 10.1016/0169-7439(95)00043-7 |
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| References | Chen (10.1016/S1004-9541(06)60081-5_bib9) 2002; 57 Chiang (10.1016/S1004-9541(06)60081-5_bib2) 2001 He (10.1016/S1004-9541(06)60081-5_bib10) 2004; 12 Chen (10.1016/S1004-9541(06)60081-5_bib11) 2004; 22 Chiang (10.1016/S1004-9541(06)60081-5_bib3) 2000; 50 10.1016/S1004-9541(06)60081-5_bib12 Dong (10.1016/S1004-9541(06)60081-5_bib7) 1996; 42 Wang (10.1016/S1004-9541(06)60081-5_bib13) 1998 Rännar (10.1016/S1004-9541(06)60081-5_bib8) 1998; 41 Jackson (10.1016/S1004-9541(06)60081-5_bib1) 1991 Normikos (10.1016/S1004-9541(06)60081-5_bib5) 1994; 40 Fisher (10.1016/S1004-9541(06)60081-5_bib4) 1936; 7 Normikos (10.1016/S1004-9541(06)60081-5_bib6) 1995; 30 |
| References_xml | – year: 2001 ident: 10.1016/S1004-9541(06)60081-5_bib2 – volume: 50 start-page: 243 year: 2000 ident: 10.1016/S1004-9541(06)60081-5_bib3 article-title: “Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis,” publication-title: Chemom. Intel. Lab. Syst. doi: 10.1016/S0169-7439(99)00061-1 – volume: 7 start-page: 179 year: 1936 ident: 10.1016/S1004-9541(06)60081-5_bib4 article-title: “The utilization of multiple measurements in taxonomic problem,” publication-title: Annals of Eugenics doi: 10.1111/j.1469-1809.1936.tb02137.x – year: 1991 ident: 10.1016/S1004-9541(06)60081-5_bib1 – volume: 57 start-page: 63 year: 2002 ident: 10.1016/S1004-9541(06)60081-5_bib9 article-title: “On-line batch process monitoring using dynamic PCA and dynamic PLS models,” publication-title: Chem. Eng. Sci. doi: 10.1016/S0009-2509(01)00366-9 – ident: 10.1016/S1004-9541(06)60081-5_bib12 – volume: 12 start-page: 96 year: 2004 ident: 10.1016/S1004-9541(06)60081-5_bib10 article-title: “An improved adaptive multi-way principal component analysis for monitoring streptomycin fermentation process,” publication-title: Chin. J. Chem. Eng. – volume: 40 start-page: 1361 year: 1994 ident: 10.1016/S1004-9541(06)60081-5_bib5 article-title: “Monitoring batch processes using multi-way principal component analysis,” publication-title: AlChE J. doi: 10.1002/aic.690400809 – volume: 22 start-page: 384 year: 2004 ident: 10.1016/S1004-9541(06)60081-5_bib11 article-title: “Monitoring batch processes using multiway Fisher discriminnant analysis,” publication-title: Journal of Jilin University (Infor. Sci.) – start-page: 146 year: 1998 ident: 10.1016/S1004-9541(06)60081-5_bib13 – volume: 41 start-page: 73 year: 1998 ident: 10.1016/S1004-9541(06)60081-5_bib8 article-title: “Adaptive batch monitoring using hierarchical PCA,” publication-title: Chemom. Intel. Lab. Syst. doi: 10.1016/S0169-7439(98)00024-0 – volume: 42 start-page: 2199 year: 1996 ident: 10.1016/S1004-9541(06)60081-5_bib7 article-title: “Batch tracking via nonlinare principal component analysis,” publication-title: AlChE J. doi: 10.1002/aic.690420810 – volume: 30 start-page: 97 year: 1995 ident: 10.1016/S1004-9541(06)60081-5_bib6 article-title: “Multi-way partial least squares in monitoring batch processes,” publication-title: Chemom. Intel. Lab. Syst. doi: 10.1016/0169-7439(95)00043-7 |
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| Title | Fault Diagnosis for Batch Processes by Improved Multi-model Fisher Discriminant Analysis |
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