Selected diagnostic methods of electrical machines operating in industrial conditions

Abstract

The article proposes a series of tests on the groundwall insulation, utilizing the dc voltage and consisting of three related procedures. After running the tests, the obtained data are analyzed and insulation is graded in accordance with proposed criteria. These criteria are presented in the paper. The method has been illustrated by real-life example of electrical machine tests' results. The article describes the turn-to-turn insulation substitute circuit and results of simulations and measurements. There is shown a new diagnostic method to determinate condition of this insulation. The suggested method can be used in any kind of machine and it is easy to use. The most commonly damaged machine parts, except the insulation, are bearings, so the authors decided to mention in the article, about vibration measurements.

Sensorless Vibration Diagnostics of Permanent Magnets Traction Electrical Motors–The Shaft Unbalance Example

“…This is a serious problem for example during registration of winding resistance for determination of the winding temperature rise after the heating test (Figure1.) [2][3][4][5][6][7]. …”

“…The unbalance of shaft in wind or hydroelectric power plants is often caused by damage of turbine. That is an excellent method of vibration diagnostics in those devices [5][6][7].…”

Recognition of acoustic signals of induction motor using FFT, SMOFS-10 and LSVM

“…They also develop early fault detection methods [1,5,6,[10][11][12][13][14][15]. Especially non-invasive methods are developed such as: acoustic, vibrations, thermal, magnetic [3,14,19,27,28,29,35,36,38].…”

“…These motors have low maintenance and low price. To reduce maintenance costs scientists analyze mechanical properties of materials [18,20,25,30].They also develop early fault detection methods [1,5,6,[10][11][12][13][14][15]. Especially non-invasive methods are developed such as : acoustic, vibrations, thermal, magnetic [3, 14, 19, 27, 28, 29, 35, 36, 38].…”

Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

“…There is also a wide research field on the development of methods for incipient fault diagnostics. Fault diagnostics in rotating machines is mainly carried out through vibration, electrical, acoustic, and thermal analysis [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”