Detection of faults in the asynchronous machine by the use of smart materials
1
Laboratory of studies and Development of Semiconductor and Dielectric Materials, LeDMaScD, University Amar Telidji of Laghouat, BP 37G route of Ghardaïa, Laghouat 03000, Algeria.
2
Materials Science and Informatics Laboratory, MSIL, Ziane Achour University of Djelfa, PO Box 3117 Road Moudjbara, 17000 Djelfa, Algeria
Submission date: 2018-02-10
Final revision date: 2018-07-07
Acceptance date: 2018-07-11
Online publication date: 2018-07-18
Publication date: 2018-07-18
Corresponding author
Amar Regaz
Laboratory of studies and Development of Semiconductor and Dielectric Materials, LeDMaScD, University Amar Telidji of Laghouat, BP 37G route of Ghardaïa, Laghouat 03000, Algeria., city boutrifice blok 592/28 djelfa Algeria, 17000 Djelfa, Algeria
Laboratory of studies and Development of Semiconductor and Dielectric Materials, LeDMaScD, University Amar Telidji of Laghouat, BP 37G route of Ghardaïa, Laghouat 03000, Algeria., city boutrifice blok 592/28 djelfa Algeria, 17000 Djelfa, Algeria
Diagnostyka 2018;19(3):43–54
KEYWORDS
TOPICS
ABSTRACT
This paper aimed with diagnosis of defects in asynchronous machine. The used method is based on the exploitation of the behavioural laws of magnetostrictive and piezoelectric materials, under harmonic regime, used in the construction of the asynchronous machine. Piezoelectric sensors are used both in the stator and in the rotor. The used one in the stator serves to detect the rupture at the stator windings and the one used in the rotor helps us to detect the rupture of the rotor bars. The produced electric potential in the terminals of piezoelectric sensor is due to the deformation generated by magnetic induction under the effect of magnetostriction. A finite element method (FEM) is selected to be the resolution numerical method. This method is used for modelling the asynchronous machine under anomaly conditions and non-load.
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