NDLI: Automated detection of rotor faults for inverter-fed induction machines under standstill conditions

Content Provider	IEEE Xplore Digital Library
Author	Byunghwan Kim Kwanghwan Lee Jinkyu Yang Sang Bin Lee Wiedenbrug, E.J. Shah, M.R.
Copyright Year	2009
Description	Author affiliation: Baker Instrument Company-An SKF Group Company, Fort Collins, U.S.A. (Wiedenbrug, E.J.) \|\| GE Global Research, Schenectady, NY, U.S.A. (Shah, M.R.) \|\| Department of Electrical Engineering, Korea University, Seoul, Korea (Byunghwan Kim; Kwanghwan Lee; Jinkyu Yang; Sang Bin Lee)
Abstract	It is difficult to apply conventional on-line MCSA techniques for diagnosis of rotor faults for closed loop induction motor drives for many applications due to the masking effect of the feedback current controller and/or variable frequency or load operation. Relying solely on traditional off-line inspection techniques during regular maintenance does not allow frequent monitoring of rotor problems and is inconvenient since it requires rotor disassembly and/or manual rotor rotation. In this paper, a new automated technique for testing inverter-fed squirrel cage induction machines at standstill for rotor faults is proposed. The main concept is to use the inverter to excite the machine with a pulsating field at a number of angular positions to observe the variation in the impedance pattern due to broken rotor bars, whenever the motor is stopped. An experimental study on a 7.5hp induction motor verifies that broken bars can be detected with high sensitivity and reliability. It will be shown that the proposed method can provide automated and reliable assessment of rotor condition frequently without motor disassembly, manual rotation, or additional instrumentation. The proposed test can also provide rotor quality assessment independent of variations in motor or load operating conditions since it is a standstill test.
Starting Page	2277
Ending Page	2284
File Size	983936
Page Count	8
File Format	PDF
ISBN	9781424428939
DOI	10.1109/ECCE.2009.5316465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inverter Condition Monitoring Diagnostics Rotors Inspection Broken Rotor Bar Squirrel Cage Rotor Fault diagnosis Induction motor drives Feedback loop Fault detection Induction Motor AC Machine Frequency Off-line Testing Pulsating Magnetic Field Induction machines Bars Testing
Content Type	Text
Resource Type	Article

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Automated Detection of Rotor Faults for Inverter-Fed Induction Machines Under Standstill Conditions

Evaluation of the detectability of broken rotor bars for double squirrel cage rotor induction motors

Closed-loop bandwidth impact on MVSA for rotor broken bar diagnosis in IRFOC double squirrel cage induction motor drives

Broken rotor bars fault detection in squirrel cage induction machines

Detection of rotor fault in an induction motor under standstill condition

Quantitative rotor broken bar evaluation in double squirrel cage induction machines under dynamic operating conditions

Monitoring and diagnosis of failures in squirrel-cage induction motors due to cracked or broken bars

Analysis and Diagnostics of Adjacent and Nonadjacent Broken-Rotor-Bar Faults in Squirrel-Cage Induction Machines

Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

Automated detection of rotor faults for inverter-fed induction machines under standstill conditions

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Automated Detection of Rotor Faults for Inverter-Fed Induction Machines Under Standstill Conditions

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