A Review of Stator Fault Monitoring Techniques of Induction Motors

Artificial Intelligence Method for Electric Drives Mode Operating and Technical Condition Determination

“…For automatic detection of technical condition of the The purpose of the introduced neural network is to carry out automatic detection of technical condition of the electric drive without involvement of the specialist expert [7][8][9][10][11][12][13][14][15][16][17][18][19]. As basic data values, wavelet coefficients at a scale are used ( fig.…”

A Novel Approach for Detection of Shorted Turns Fault in Machine Using Combination of Flux and Instantaneous Power Signal

“…A comprehensive literature review of more than 20 existing methods, including the most common methods to assess the phase-to-ground, phase-to-phase, and turn-to-turn insulation conditions is presented in [12,13]. Investigation of Multiple Faults Detection in Electric Machine Using Broken Rotor Bar and Eccentricity Fault Frequencies Techniques has also been described in [14].…”

Evaluation of fiber-optic sensing performance for embedded thermal monitoring of electric machinery wound components

“…This is normally achieved through continuous monitoring of the vital machine operational parameters, including electrical, mechanical and thermal signals, to extract indices containing information on the device operating status [1][2][3][4][5]. Thermal monitoring of motor windings is of particular interest in this respect [5,6], as severe winding insulation breakdown and the consequent significant thermal stress have been reported to contribute to as much as ≈30-40% of all failures in conventional induction machinery [7]. Achieving accurate monitoring of the winding hot spot temperature is therefore key in enabling effective machine thermal protection and lifetime extension by prevention of undetected and prolonged thermal overloads.…”