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This paper deals with a smart algorithm allowing reversed polarity fault diagnosis and prognosis in PV generators. The proposed prognosis (prediction) approach is based on the hybridization of a support vector regression (SVR) technique optimized by a k-NN regression tool (K-NNR) for undetermined outputs. To test the proposed algorithm performance, a PV generator database containing sample data is...
Electronic equipment are subject to degradation and failure as a result of aging and corrosion. Diagnosing to the culprit component, however, is usually not obvious. Some strategic and novel electromagnetic interference (EMI) measurements can be utilized to detect and diagnose failures or degradations. Measuring and monitoring the EMI characteristics of a Unit Under Test (UUT) indicates that the circuit...
Paper describes an online diagnostic and control unit which can control, diagnose and partially do the prognosis of EV drive. For the EV drive control is used a vector control. Methods of processing the variables are based on fault analysis of rotating systems according frequencies at current spectra of EV induction motor. Moreover, unit can detect short circuits and monitor a partial discharge activity...
Gearboxes are widely used and subjected to progressive deterioration which makes box condition monitoring a relevant topic in the servodrive industry. This paper proposes a novel scheme for performing integral condition monitoring in a drive containing a gearbox. The proposed scheme is based on a modified MCSA scheme (motor current signature analysis) that uses the drive rectifier input currents instead...
A modified motor current signature analysis (MCSA) approach to monitor the performance of a servo drive system using only one set of current transducers at the input side of the rectifier is proposed. The paper introduces a mathematical analysis to determine how the harmonic frequencies related to a fault propagate from the motor to the input inverter, and includes the effect of the DC link components...
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