DocumentCode
1902339
Title
Winding function approach for induction machine fault detection
Author
Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Zouaoui, Zoubir
Author_Institution
Eng. Dept., Glyndwr Univ., Wrexham, UK
fYear
2013
fDate
27-30 Aug. 2013
Firstpage
323
Lastpage
328
Abstract
This paper introduces a novel method for motor fault detection under varying load conditions. Model based induction machine broken rotor-bar fault performances are discussed. Winding function approach (WFA) based mathematical model is developed to provide indication information regarding motor parameter evolution under the influence of load level and fault severity. Through further analysis the motor parameters evolution, broken rotor-bar fault detection indexes are developed. Moreover, these indexes can assess rotor fault severity based on stator current and rotor speed. Stator current and rotor speed are used to demonstrate correlations between these parameters and broken rotor bar severity. Simulations and experimental results confirm the validity and effectiveness of the proposed approach.
Keywords
asynchronous machines; fault diagnosis; rotors; stators; WFA; broken rotor bar severity; broken rotor-bar fault detection index; induction machine fault detection; mathematical model; motor fault detection; motor parameter evolution; rotor fault severity; rotor speed; stator current; winding function approach; Bars; Induction motors; Rotors; Stator windings; Windings; Broken Rotor Bars; Induction Machine; Winding Function Approach;
fLanguage
English
Publisher
ieee
Conference_Titel
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location
Valencia
Type
conf
DOI
10.1109/DEMPED.2013.6645735
Filename
6645735
Link To Document