Title :
Estimation of Static Eccentricity Severity in Induction Motors for On-Line Condition Monitoring
Author :
Grieger, Jason ; Supangat, Randy ; Ertugrul, Nesimi ; Soong, Wen L. ; Gray, Douglas A. ; Hansen, Colin
Author_Institution :
Sch. of Electr. & Electron. Eng., Adelaide Univ., SA
Abstract :
A range of features of sensor signals have been proposed as fault indicators for the detection of rotor eccentricity faults in induction motors. In previous studies, experimental investigation of the behavior of these features in relation to static eccentricity faults have only been performed for a limited range of load levels and fault severities. This has resulted in an incomplete understanding of the practicalities of static eccentricity diagnosis and severity estimation using these features. This paper presents a comprehensive experimental study using a 2.2 kW 3-phase induction motor operated from no load to full load and with static eccentricity severity settings at multiples of 12.5%. The data from these experiments is used to investigate the estimation of static eccentricity severity with commonly used eccentricity fault indicators
Keywords :
condition monitoring; fault diagnosis; induction motors; machine testing; rotors; 2.2 kW; fault indicators; induction motors; online condition monitoring; rotor eccentricity faults; sensor signals; static eccentricity diagnosis; Air gaps; Condition monitoring; Fault detection; Frequency; Induction motors; Manufacturing; Mechanical engineering; Rotors; Sensor phenomena and characterization; Stators; condition monitoring; induction motor; static eccentricity;
Conference_Titel :
Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-0364-2
Electronic_ISBN :
0197-2618
DOI :
10.1109/IAS.2006.256864