Numerical magnetic field analysis and signal processing for fault diagnostics of electrical machines

Abstract

Numerical magnetic field analysis is used for predicting the performance of an induction motor and a slip-ring generator having different faults implemented in their structure. Virtual measurement data provided by the numerical magnetic field analysis are analysed using modern signal processing techniques to get a reliable indication of the fault. Support vector machine based classification is applied to fault diagnostics. The stator line current, circulating currents between parallel stator branches and forces between the stator and rotor are compared as media of fault detection.

Evaluation of different monitoring parameters for synchronous machine fault diagnostics

“…A large number of non-linear system of equations are solved for nodal values of vector potential and the voltage difference of the windings [8].…”

“…[1] Major faults in SMs occur from inter-turn short circuit of stator or rotor windings, and eccentricity due to nonuniformity in the airgap, broken damper bar, stator-rotor rubbing etc. [4][5][6][7][8][9][10][11][12]. Bearing faults though not quite common in large SMs are matter of importance [13] for high-speed machines.…”

“…Model-based techniques are carried out by developing simulation models in numerous ways such as neural network, fuzzy logic, finite element method, time-stepped, state space, winding function approach, hidden Markov model-based semi non-parametric approach, etc. [4][5][6][7][8][9]17,18]. An analytical signal angular fluctuation method was proposed in [19] to discern rotor faults from load oscillations in case of asynchronous motors.…”

Aportación al mantenimiento predictivo de motores de inducción mediante modernas técnicas de análisis de la señal

“…De esta manera se obtuvo un valor medido de excentricidad, predominantemente dinámica, del 37% [172]. Una descripción detallada sobre la implementación de la falta se presenta en [199].…”

Methods to Identify Intermittent Electrical and Mechanical Faults in Permanent Magnet AC Drives Based on Wavelet Analysis

“…Methods to detect a variety of electrical drive faults were discussed in [1]- [8]. These include open and shorted switches [1], open phase, shorting of adjacent commutator bars, and worn brushes [2], turn-turn shorts [3], [8], voltage unbalance between phases [4], [8], broken rotor bars and end rings [5], [6], [8], and increased stator temperature [7].…”