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This paper deals with the fault detection of solar energy production source system (SEPSS) based on the least squares method. This choice resides on its implementation simplicity and also rarely use in the diagnosis of a SPESS. In first, an analytical model of the photovoltaic (PV) module based on the Bishop model is exposed. Also, the least squares method is detailed. These models have been implemented...
An inter turns short circuit fault is an evolving fault, the beginning of this is the degradation of the insulation of the winding of the induction machine. This degradation can be modeled with a resistance called the resistance of contact. This resistance limits the fault current flowing through the turns short-circuited. This fault current is the responsible of the defect in the electrical machine...
Most cases of electrical machines are connected directly to the low voltage power system without inverter, which can be subjected to a harmonic pollution at any time. The presence of these harmonics can compromise the reliability of the fault detection. In this paper, we present the winding fault diagnosis of induction machine connected to a harmonically polluted low voltage power system. The detection...
This paper deals with the faults diagnosis of wind energy conversion chain based on doubly fed induction generator (DFIG). A complete model of the device is presented. An accurate model of the induction machine is proposed because the considered faults are come from this element. The developed model of the conversion chain allows studying both the cases with and without faults. The principal components...
This paper deals with faults detection and localization of wound rotor induction machines based on principal components analysis method. Both, localization and detection approaches consist in analyzing a detection index which is established on principal components. Once the faults are detected, the affected state variables are localized. The EWMA filter is applied to improve the fault detection quality...
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