Unambiguous Detection of Broken Bars in Asynchronous Motors by Means of a Flux Measurement-Based Procedure

Cabanas, M.F.; Pedrayes, F.; Melero, M.G.; Garcia, C.; Cano, José M.; Orcajo, Gonzalo A.; Norniella, Joaquín G.

doi:10.1109/tim.2010.2062711

Cited by 49 publications

(10 citation statements)

References 17 publications

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“…In order to obtain good results during the fault diagnosis of electrical machinery, a growing amount of research about new measurement instrumentation [10][11][12][13] and new signal processing techniques have been presented [14][15][16][17]. Their major goal is to improve or propose new alternative techniques to those that already exist.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Tests for Induction Machine Faults Diagnosis

Filho¹,

Baccarini²,

Pederiva³

2016

Non-Destructive Testing

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A maintenance program must include several techniques of monitoring of the electric motor's conditions. Among these techniques, probably the two classic ones are related to megger and impulse test. Unfortunately, in both cases, inherent drawbacks can expose the electrical motor at a high voltage that could deteriorate insulation condition making difficult its use on industrial environment. As the electrical machines have several different components (e.g., bearings, rotor bars, shaft, and stator windings), the fault frequencies can be excited by mechanical and/or electrical faults making the identification of the real condition difficult. This chapter describes several methods of the nondestructive tests for induction motors based on the motor current signature analysis (MCSA), magnetic flux, and vibration analysis. The method of analysis is a good alternative tool for destructive tests and fault detection in induction motors. Numerical and experimental results demonstrate the effectiveness of the proposed technique. This chapter also presents a model suitable for computer simulation of induction motor in a healthy state and with general asymmetries that can be analyzed simultaneously. The model makes it possible to conduct research on different characteristics of engines and outstanding effects produced by the faults.

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Section: Introductionmentioning

confidence: 99%

Nondestructive Tests for Induction Machine Faults Diagnosis

Filho¹,

Baccarini²,

Pederiva³

2016

Non-Destructive Testing

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“…It is known that monitoring magnetic field is one of the most effective techniques because various faults first lead to the change of magnetic field. More information on the general characteristics of magnetic fields can be found when detecting machines faults [6]- [8]. [9] presents a diagnostic technique based on internal flux measurement to detect the stator turn-turn fault.…”

Section: Introductionmentioning

confidence: 99%

Detection of eccentricity fault using slot leakage flux monitoring

Wang

Bao

et al. 2015

2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)

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Eccentricity is a common fault in the running of electrical machines. Aimed at the problem, a new approach to detect eccentricity fault is presented by monitoring the slot leakage flux of stator in this paper. In order to measure the slot leakage flux, two placements of search coil in the stator slot are applied. Firstly, the theoretical analysis shows the slot leakage flux contains more information about eccentricity fault than the stator current does. Then the submersible motor as a model, the induced voltages of search coil and the stator currents are obtained by finite element simulation under healthy motor, static, dynamic and mixed eccentricity, respectively. And various analysis and comparisons of simulations are made. The results show that monitoring the slot leakage flux is effective and has more advantages than the motor current signature analysis. Index Terms--Eccentricity, search coil, slot leakage flux, submersible motor.

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“…Some quantitative conclusion based on the left sideband values (LSB) of the amplitude-frequency spectrum plot of a motor phase current even recommends −50 dB∼ −35 dB of the sideband harmonics as the threshold level for generating a warning or alarm [10]. In addition, MCSA has been tested in many industrial cases since the 1980s with good results [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors

Zhu

Gao

et al. 2013

Journal of Applied Mathematics

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Broken rotor bars fault detection in inverter-fed squirrel cage induction motors is still as difficult as the dynamics introduced by the control system or the dynamically changing excitation (stator) frequency. This paper introduces a novel fault diagnosis techniques using motor current signature analysis (MCSA) to solve the problems. Switching function concept and frequency modulation theory are firstly used to model fault current signal. The competency of the amplitude of the sideband components at frequencies (1±2s)fsas indices for broken bars recognition is subsequently studied in the controlled motor via open-loop constant voltage/frequency control method. The proposed techniques are composed of five modules of anti-aliasing signal acquisition, optimal-slip-estimation based on torque-speed characteristic curve of squirrel cage motor with different load types, fault characteristic frequency determination, nonparametric spectrum estimation, and fault identification for achieving MCSA efficiently. Experimental and simulation results obtained on 3 kW three-phase squirrel-cage induction motors show that the model and the proposed techniques are effective and accurate.

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Unambiguous Detection of Broken Bars in Asynchronous Motors by Means of a Flux Measurement-Based Procedure

Cited by 49 publications

References 17 publications

Nondestructive Tests for Induction Machine Faults Diagnosis

Nondestructive Tests for Induction Machine Faults Diagnosis

Detection of eccentricity fault using slot leakage flux monitoring

Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors

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