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This work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the...
In this paper we present a technique for detecting broken bars of an induction motor (IM), by injecting zero sequence high frequency signals. Through the processing of currents induced in response to the injected signal, the variation is analysed, and how the occurrence of failures on such bars modify diagnostic signals, allowing the detection of the fault. The main characteristic of the presented...
In this work a dynamic model of the induction machine that considers the thermal behavior is developed using bond graphs (BG). The thermal model is based on considering the slots and teeth as independent elements with their own temperature. It corresponds to a real motor used in the tractive wheel of an electric vehicle. The model of the vehicle is also obtained in BG and is coupled to the motor....
A novel on-line stator core fault diagnosis method for induction motors (IM) is proposed. This approach is based on an adaptive state observer; it is derived from the IM dynamic model considering stator iron losses. In this model the iron losses are represented by an equivalent iron loss resistance (RFe). Stator core fault causes important variations on iron losses and these variations are reflected...
A non-destructive method to analyze stator core faults on induction motors is presented and developed in the present work. It allows generating entirely reversible faults of different magnitudes. The quantification of fault severity was performed through the stator core interlaminar insulation test and through no-load test. The obtained experimental results show the feasibility of the method and the...
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