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In this paper, a robust diagnosis in closed loop dynamic system based on bond graph (BG) approach is proposed. The methodology uses the linear fractional transformation (LFT) form to eliminate the parameter uncertainties in the residual. The proposed method develops a threshold against measurement noises with the sensitivity of the residual to faults. Finally, simulation results are presented to show...
This paper proposes an innovative fault diagnosis system for a turbocharged diesel engine with variable geometry turbocharger control. Numerous and diversified actuator faults are identified and analyzed such as air leakage in the admission collector, compressor malfunctioning, intake valves fault, intercooler fault, deterioration in the turbine-compressor coupling, defect in the variable geometry...
It is the first time that the method of fault intelligent prediction and diagnosis of transformer in early stage has been put forward based on multi- physical effects in this thesis. The multi-signal, multi-parameter model was elaborated from the different angles when transformer is in faults. The parameters and signals can be found that indicate the state in faults based on the method of parameter...
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