Fault detection in multivariable systems using directional properties: An approach based on zero and zero directions - Couverture souple
Synopsis
Master's Thesis from the year 2004 in the subject Engineering - Mechanical Engineering, grade: 4.00, Texas A&M University, language: English, abstract: The paper formulated a novel algorithm for making the combination of outputs in the output zero direction of the plant always equal to zero. Using this algorithm and the result of MacFarlane and Karcanias, a fault detection scheme was proposed which utilizes the directional property of the multivariable linear system. The fault detection scheme is applicable to linear multivariable systems. Results were obtained for both continuous and discrete linear multivariable systems. The results were further verified by the steady state analysis of the plant. Recently fault detection and isolation of non-linear system have generated a lot of interest. The present paper deals with only linear systems there is scope of extending this work to the non-linear systems. There is a possibility of using the properties of non-linear zeros to detect and isolate faults present in a non-linear plant.
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Fault detection in multivariable systems using directional properties: An approach based on zero and zero directions
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Fault detection in multivariable systems using directional properties
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2004 in the subject Engineering - Mechanical Engineering, grade: 4.00, Texas A&M University, language: English, abstract: The paper formulated a novel algorithm for making the combination of outputs in the output zero direction of the plant always equal to zero. Using this algorithm and the result of MacFarlane and Karcanias, a fault detection scheme was proposed which utilizes the directional property of the multivariable linear system. The fault detection scheme is applicable to linear multivariable systems. Results were obtained for both continuous and discrete linear multivariable systems. The results were further verified by the steady state analysis of the plant.Recently fault detection and isolation of non-linear system have generated a lot of interest. The present paper deals with only linear systems there is scope of extending this work to the non-linear systems. There is a possibility of using the properties of non-linear zeros to detect and isolate faults present in a non-linear plant. 96 pp. Englisch. N° de réf. du vendeur 9783346175175
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Fault detection in multivariable systems using directional properties
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GRIN Verlag, GRIN Verlag Jun 2020, 2020
ISBN 10 : 3346175170
ISBN 13 : 9783346175175
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Taschenbuch. Etat : Neu. Neuware -Master's Thesis from the year 2004 in the subject Engineering - Mechanical Engineering, grade: 4.00, Texas A&M University, language: English, abstract: The paper formulated a novel algorithm for making the combination of outputs in the output zero direction of the plant always equal to zero. Using this algorithm and the result of MacFarlane and Karcanias, a fault detection scheme was proposed which utilizes the directional property of the multivariable linear system. The fault detection scheme is applicable to linear multivariable systems. Results were obtained for both continuous and discrete linear multivariable systems. The results were further verified by the steady state analysis of the plant.Recently fault detection and isolation of non-linear system have generated a lot of interest. The present paper deals with only linear systems there is scope of extending this work to the non-linear systems. There is a possibility of using the properties of non-linear zeros to detect and isolate faults present in a non-linear plant.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. N° de réf. du vendeur 9783346175175
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Fault detection in multivariable systems using directional properties : An approach based on zero and zero directions
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2004 in the subject Engineering - Mechanical Engineering, grade: 4.00, Texas A&M University, language: English, abstract: The paper formulated a novel algorithm for making the combination of outputs in the output zero direction of the plant always equal to zero. Using this algorithm and the result of MacFarlane and Karcanias, a fault detection scheme was proposed which utilizes the directional property of the multivariable linear system. The fault detection scheme is applicable to linear multivariable systems. Results were obtained for both continuous and discrete linear multivariable systems. The results were further verified by the steady state analysis of the plant.Recently fault detection and isolation of non-linear system have generated a lot of interest. The present paper deals with only linear systems there is scope of extending this work to the non-linear systems. There is a possibility of using the properties of non-linear zeros to detect and isolate faults present in a non-linear plant. N° de réf. du vendeur 9783346175175
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Fault detection in multivariable systems using directional properties | An approach based on zero and zero directions
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Taschenbuch. Etat : Neu. Fault detection in multivariable systems using directional properties | An approach based on zero and zero directions | Amit Pandey | Taschenbuch | 96 S. | Englisch | 2020 | GRIN Verlag | EAN 9783346175175 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 118537868
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