The fault diagnosis and prediction of electrical machines and drives has become of importance because of its great influence on the operational continuation of many industrial processes. Correct diagnosis and early detection of incipient faults avoids harmful, sometimes devastative, consequences. In this work, on the basis of a model of an induction motor we study the approach for the detection of broken rotor bars problem using residual generators based in moving horizon estimator of the rotor resistance. Which the detection is based is that the failure events are detected by jumps in the estimated parameter values of the model. Upon breaking a bar the estimated rotor resistance is increased instantly, thus providing two values of resistance after and before bar breakage. Simulation and experimental results show the effectiveness of the proposed method for broken rotor bar detection in induction motors.
In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation.
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