A sparse loading-based contribution method for multivariate control performance diagnosis

An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems a...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wang, Kai [verfasserIn] Chen, Junghui [verfasserIn] Song, Zhihuan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings

Übergeordnetes Werk:	Enthalten in: Journal of process control - Amsterdam [u.a.] : Elsevier Science, 1991, 85, Seite 199-213
Übergeordnetes Werk:	volume:85 ; pages:199-213

DOI / URN:	10.1016/j.jprocont.2019.12.001

Katalog-ID:	ELV003516067

Internformat


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520			\|a An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots.
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650		4	\|a Control performance diagnosis
650		4	\|a Generalized eigendecomposition
650		4	\|a Sparse loadings
700	1		\|a Chen, Junghui \|e verfasserin \|0 (orcid)0000-0002-9994-839X \|4 aut
700	1		\|a Song, Zhihuan \|e verfasserin \|4 aut
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allfields	10.1016/j.jprocont.2019.12.001 doi (DE-627)ELV003516067 (ELSEVIER)S0959-1524(19)30831-5 DE-627 ger DE-627 rda eng 004 DE-600 58.17 bkl Wang, Kai verfasserin (orcid)0000-0003-1396-9825 aut A sparse loading-based contribution method for multivariate control performance diagnosis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots. Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings Chen, Junghui verfasserin (orcid)0000-0002-9994-839X aut Song, Zhihuan verfasserin aut Enthalten in Journal of process control Amsterdam [u.a.] : Elsevier Science, 1991 85, Seite 199-213 Online-Ressource (DE-627)320403963 (DE-600)2000438-2 (DE-576)259484326 0959-1524 nnns volume:85 pages:199-213 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.17 Chemische Prozesstechnik AR 85 199-213
spelling	10.1016/j.jprocont.2019.12.001 doi (DE-627)ELV003516067 (ELSEVIER)S0959-1524(19)30831-5 DE-627 ger DE-627 rda eng 004 DE-600 58.17 bkl Wang, Kai verfasserin (orcid)0000-0003-1396-9825 aut A sparse loading-based contribution method for multivariate control performance diagnosis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots. Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings Chen, Junghui verfasserin (orcid)0000-0002-9994-839X aut Song, Zhihuan verfasserin aut Enthalten in Journal of process control Amsterdam [u.a.] : Elsevier Science, 1991 85, Seite 199-213 Online-Ressource (DE-627)320403963 (DE-600)2000438-2 (DE-576)259484326 0959-1524 nnns volume:85 pages:199-213 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.17 Chemische Prozesstechnik AR 85 199-213
allfields_unstemmed	10.1016/j.jprocont.2019.12.001 doi (DE-627)ELV003516067 (ELSEVIER)S0959-1524(19)30831-5 DE-627 ger DE-627 rda eng 004 DE-600 58.17 bkl Wang, Kai verfasserin (orcid)0000-0003-1396-9825 aut A sparse loading-based contribution method for multivariate control performance diagnosis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots. Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings Chen, Junghui verfasserin (orcid)0000-0002-9994-839X aut Song, Zhihuan verfasserin aut Enthalten in Journal of process control Amsterdam [u.a.] : Elsevier Science, 1991 85, Seite 199-213 Online-Ressource (DE-627)320403963 (DE-600)2000438-2 (DE-576)259484326 0959-1524 nnns volume:85 pages:199-213 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.17 Chemische Prozesstechnik AR 85 199-213
allfieldsGer	10.1016/j.jprocont.2019.12.001 doi (DE-627)ELV003516067 (ELSEVIER)S0959-1524(19)30831-5 DE-627 ger DE-627 rda eng 004 DE-600 58.17 bkl Wang, Kai verfasserin (orcid)0000-0003-1396-9825 aut A sparse loading-based contribution method for multivariate control performance diagnosis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots. Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings Chen, Junghui verfasserin (orcid)0000-0002-9994-839X aut Song, Zhihuan verfasserin aut Enthalten in Journal of process control Amsterdam [u.a.] : Elsevier Science, 1991 85, Seite 199-213 Online-Ressource (DE-627)320403963 (DE-600)2000438-2 (DE-576)259484326 0959-1524 nnns volume:85 pages:199-213 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.17 Chemische Prozesstechnik AR 85 199-213
allfieldsSound	10.1016/j.jprocont.2019.12.001 doi (DE-627)ELV003516067 (ELSEVIER)S0959-1524(19)30831-5 DE-627 ger DE-627 rda eng 004 DE-600 58.17 bkl Wang, Kai verfasserin (orcid)0000-0003-1396-9825 aut A sparse loading-based contribution method for multivariate control performance diagnosis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots. Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings Chen, Junghui verfasserin (orcid)0000-0002-9994-839X aut Song, Zhihuan verfasserin aut Enthalten in Journal of process control Amsterdam [u.a.] : Elsevier Science, 1991 85, Seite 199-213 Online-Ressource (DE-627)320403963 (DE-600)2000438-2 (DE-576)259484326 0959-1524 nnns volume:85 pages:199-213 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.17 Chemische Prozesstechnik AR 85 199-213
language	English
source	Enthalten in Journal of process control 85, Seite 199-213 volume:85 pages:199-213
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topic_facet	Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings
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authorswithroles_txt_mv	Wang, Kai @@aut@@ Chen, Junghui @@aut@@ Song, Zhihuan @@aut@@
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author	Wang, Kai
spellingShingle	Wang, Kai ddc 004 bkl 58.17 misc Contribution plots misc Control performance diagnosis misc Generalized eigendecomposition misc Sparse loadings A sparse loading-based contribution method for multivariate control performance diagnosis
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topic_title	004 DE-600 58.17 bkl A sparse loading-based contribution method for multivariate control performance diagnosis Contribution plots Control performance diagnosis Generalized eigendecomposition Sparse loadings
topic	ddc 004 bkl 58.17 misc Contribution plots misc Control performance diagnosis misc Generalized eigendecomposition misc Sparse loadings
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title	A sparse loading-based contribution method for multivariate control performance diagnosis
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title_full	A sparse loading-based contribution method for multivariate control performance diagnosis
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title_sort	a sparse loading-based contribution method for multivariate control performance diagnosis
title_auth	A sparse loading-based contribution method for multivariate control performance diagnosis
abstract	An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots.
abstractGer	An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots.
abstract_unstemmed	An automatic and accurate control performance diagnosis algorithm is necessary for general chemical processes with a number of control loops when a performance change occurs. The popular contribution plots for control performance diagnosis have severe smearing effects of diagnosis and the problems are still not solved. A sparse loading based contribution plot is proposed in this paper to enhance the diagnosis performance. A complete iterative optimization procedure related to how to obtain the sparse loadings is developed. A numerical example and a period of practical industrial data are used to demonstrate the efficiency of the proposed method in comparison with the conventional contribution plots.
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title_short	A sparse loading-based contribution method for multivariate control performance diagnosis
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up_date	2024-07-06T19:53:08.601Z
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A sparse loading-based contribution method for multivariate control performance diagnosis

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