Fault detection in multivariable systems using directional properties
An approach based on zero and zero directions
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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...
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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