FEM based Electromagnetic Signature Analysis of Winding Inter-turn Short-Circuit Fault in Inverter fed Induction Motor

作     者：Praveen Kumar N Isha T B 

作者机构：Department of Electrical and Electronics EngineeringAmrita School of EngineeringCoimbatoreAmrita Vishwa VidyapeethamIndia 

出 版 物：《CES Transactions on Electrical Machines and Systems》 (中国电工技术学会电机与系统学报（英文）)

年 卷 期：2019年第3卷第3期

页      面：309-315页

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

主　　题：Electromagnetic fields finite element analysis inter-turn fault PWM inverter radial flux density. 

摘      要：The intent of this paper is to analyze the electromagnetic signature of stator winding inter-turn short-circuit fault in a closed loop speed controlled Induction Motor(IM)employing Finite Element *** winding short-circuit nearly covers 21%of faults in *** the inter-turn fault at an incipient stage is one of the challenging task in the area of fault detection of IM to prevent crucial damages in industrial *** detecting the faults in inverter fed IM under variable speed applications under varying load is one of the major issues in industrial *** the signatures of electromagnetic field contains the entire data in association with the location of rotor,stator and mechanical parts of the motor,a regular monitoring of fields in the airgap can be used to diagnose the inter-turn fault in the stator winding of *** this direction,an IM is modeled with several inter-turn fault severities like 30 turns,15 turns,5 turns&1 turn short using ANSYS Maxwell FEA tool and coupled with ANSYS Simplorer for loading *** PWM inverter with closed loop speed controlled strategy is implemented in Matlab Simulink and co-simulated with ANSYS Simplorer to integrate all the components in one common simulation platform environment for accurate design&analysis for realistic *** electromagnetic variables like flux density,flux lines and airgap flux density distribution over the machine are *** spatial FFT spectrum of radial component of flux density in the airgap contains the information related to the diagnosis of inter-turn fault at the incipient stage.