Sensorless approach to on-line motor diagnostics

Author

Kliman, Gerald B. ; Mazereeuw, Jeff G. ; Patel, Subhash C.

Author_Institution

Res. & Dev., GE Corporate, Schenectady, NY, USA

fYear

1997

fDate

20-24 Apr 1997

Firstpage

135

Lastpage

140

Abstract

Loss of process, reduced productivity, equipment damage, safety issues and life extension have driven continuing research in the area of noninvasive online motor diagnostics to recognize incipient failures and avoid the catastrophic results. Breakthroughs have been made utilizing a variety of methods which can be applied on today´s cost-effective microprocessor hardware platforms to accurately diagnose impending failures of motors. These include failure modes involving bearings, broken bar or shorted turns, and abnormal shaft torque conditions. This paper describes the research, methodology and application of this technology

Keywords

electric machine analysis computing; electric motors; failure analysis; fault location; machine bearings; machine testing; microcomputer applications; rotors; torque measurement; bearing fault detection; broken rotor bar detection; cost-effective microprocessor hardware platforms; cracked rotor bar detection; impending failures diagnosis; incipient failures recognition; noninvasive online motor diagnostics; sensorless torque measurement; turn-to-turn fault detection; Circuit faults; Condition monitoring; Electric motors; Fault detection; Hardware; Induction motors; Productivity; Protection; Rotors; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Cement Industry Technical Conference. 1997. XXXIX Conference Record., 1997 IEEE/PCA

Conference_Location

Hershey, PA

ISSN

1079-9931

Print_ISBN

0-7803-3962-2

Type

conf

DOI

10.1109/CITCON.1997.599277

Filename

599277