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Electrical and Computer Engineering
Missouri University of Science and Technology
<p>Electric fault location -- Detection<br />Electric machinery -- Testing<br />Electric motors
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Model Based Diagnostics And Prognostics Of Practical Industrial Systems, Raja Sekhar Kraleti
Model Based Diagnostics And Prognostics Of Practical Industrial Systems, Raja Sekhar Kraleti
Masters Theses
"In this thesis, the diagnosis and prognosis of single and simultaneous multiple incipient faults in practical industrial systems is demonstrated in two papers. For the purpose of fault detection and failure prediction, a model based strategy is adopted, which involves using an online adaptive estimator. The online estimator estimates the system dynamics. Residual is generated based on the physical system model and the estimated system dynamics. This residual is used to detect the fault. Once the fault is detected, a tunable nonlinear neural network online approximator in discrete-time (OLAD) along with a robust adaptive term is initiated. The OLAD utilizes …