Noninvasive detection of broken rotor bars in operating induction motors

Kliman, G.B.; Koegl, R.A.; Stein, J.; Endicott, R.D.; Madden, M.W.

doi:10.1109/60.9364

Cited by 462 publications

(207 citation statements)

References 1 publication

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“…The 'MCSA' was first used for fault diagnosis by Thomson et al (1987) and then by Kliman et al (1988). Using MCSA they were able to detect the broken rotor bar and air gap eccentricity in a three phase induction motor.…”

Section: Review On Signature Analysismentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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Due to growth of mechanisation and automation, today's industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended. Nitaigour P. Mahalik has expertise in the field of distributed control, FDI and soft computing. With 20 years of teaching experiences, he has published about 100 papers, 5 books, and 12 chapters. He has supervised five PhD and 30 MS theses/projects. He is the editor and committee members of several journals. He was the recipient of NOS and Brain-Korea fellowships and member of ISTE, ATMAE, ASABE, and ISA. Keywords

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Section: Review On Signature Analysismentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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“…The induction coil sensor is the main sensing component used in the system. It is a component capable of converting varying magnetic field to voltage signal v(t) coil , which is the mirror of the time derivative of magnetic field, as given by (5).…”

Section: Monitoring Unitsmentioning

confidence: 99%

“…Several papers consider fault diagnosis of machines, mainly three-phases induction machines. In 1998, reference [5] used the analysis of the external field to detect faults in induction motors. Such works use non-invasive methodology which consists on analyzing the frequency spectral components of the measured external field.…”

mentioning

confidence: 99%

Non-invasive monitoring system of synchronous generator using external field

Santos

Rigoni

Elias

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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“…This fault produces a relatively significant localized disturbance of the magnetic flux in the air-gap, whereas faults, such as rotor eccentricity, produce a more propagated disturbance, hence generating weaker harmonic rotating fields [6]. Several equations have been presented to generalize the consequences of broken bars on the stator current.…”

Section: Introductionmentioning

confidence: 99%

Study of Rotor Asymmetry Effects of an Induction Machine by Finite Element Method

Lebaroud¹,

Carrault²

2011

Journal of Electrical Engineering and Technology

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-This paper presents a study on rotor asymmetry caused by broken bars and its effects on the stator current of an induction machine under an unbalanced supply voltage.The simulation of the induction machine is based on the finite element method. In the early stage of diagnosis, we show new sidebands specific to the partial rupture of the rotor bar. Experimental tests corroborate with the simulation results.

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Noninvasive detection of broken rotor bars in operating induction motors

Cited by 462 publications

References 1 publication

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Non-invasive monitoring system of synchronous generator using external field

Study of Rotor Asymmetry Effects of an Induction Machine by Finite Element Method

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