Detection of outer raceway bearing defects in small induction motors using stator current analysis

Önel, Izzet; Dalci, K. Burak; Şenol, İbrahim

doi:10.1007/bf02716705

Cited by 16 publications

(8 citation statements)

References 5 publications

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“…The authors of a number of papers point out that about 40% of IM failures are attributed to the bearing wear [1,2].…”

Section: Problem Definitionmentioning

confidence: 99%

“…The literature describes various ways of bearing current diagnostics. Some researchers [1] point toward the difficulty of detecting rolling bearings' defects by IMs' current. The difficulty is caused by the dominating current component having the network frequency several times exceeding the components caused by certain defects.…”

Section: Problem Definitionmentioning

confidence: 99%

“…Any faults occurring inside the bearings will cause certain radial motions between the stator and rotor, leading to the air gap eccentricity. As it takes place, there appear harmonics in the current spectrum, the frequencies of which are expressed by [1,2]:…”

Section: Stator Current Spectrum Effectsmentioning

confidence: 99%

See 2 more Smart Citations

Diagnosis of Bearing Faults of Induction Motors by Spectral Analysis of Stator Currents

Safin

Prakht

Dmitrievskii

et al. 2014

AMR

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The article is dedicated to investigate possibility of diagnostics bearing faults of induction motors by stator currents analysis. The main features of stator currents analysis are studied. The possibility of identifying air-gap eccentricity due to the working with damaged bearings by stator currents investigating is revealed. The recommendations of monitoring and configuration of a proper diagnosis of induction motor are provided.

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“…The authors of a number of papers point out that about 40% of IM failures are attributed to the bearing wear [1,2].…”

Section: Problem Definitionmentioning

confidence: 99%

Section: Problem Definitionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of Bearing Faults of Induction Motors by Spectral Analysis of Stator Currents

Safin

Prakht

Dmitrievskii

et al. 2014

AMR

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show abstract

“…Besides spalling, contaminant particles can lead to other damage mechanisms, such as scuffing, originated from the lubricant starvation in the inlet of the contact zone. Onel et al [13] have dealt with the detection of outer raceway defects in bearings. Experiments are presented using motor current signature analysis, which clarifies some of the factors that may affect the detection of outer race defects of ball bearings by applying fast Fourier transform to the stator current.…”

Section: Introductionmentioning

confidence: 99%

Condition monitoring studies on ball bearings considering solid contaminants in the lubricant

Hariharan¹,

Srinivasan²

2010

Proceedings of the Institution of Mechanical Engineers, Part C:

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Rolling element bearings are common in any rotating machinery. They are subject to failure under continuous running. Therefore they have received a great deal of attention in the field of condition monitoring. In rolling element bearings, contamination of lubricant grease by solid particles is one of the several reasons for an early bearing failure. In this context, this article investigates the effect of contamination of lubricant by solid particles on the dynamic behaviour of rolling bearings. Silica powder at three concentration levels and different particle sizes was used to contaminate the lubricant. Experimental tests have been performed on the ball bearings lubricated with grease, and the trends in the amount of vibration affected by the contamination of the grease were determined. The contaminant concentration as well as the particle size is varied. Vibration signatures were analysed in terms of root mean square (RMS) values. From the results, some fruitful conclusions are made about the bearing performance. The effects of contaminant and the bearing vibration are studied for both good and defective bearings. The results show significant variation in the RMS velocity values on varying the contaminant concentration and particle size.

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“…An alternative is the motor current signature analysis (MCSA) since it only requires current measurements. In the case of the MCSA, the use of the Fourier Transform provides current signal spectrum information as a function of frequency for fault detection [20]. The spectral characteristic analysis is used for fault detection in multi-agent systems [21], [22].…”

Section: Introductionmentioning

confidence: 99%

A new methodology for detection of bearings faults in three-phase induction motor

2020

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This study shows a methodology for the detection, classification, and location of bearings that presented ball faults, cage faults, and outer race faults. For this study, a three-phase induction motor was used, in which the stator current and voltage signals were measured. By calculating the total harmonic distortion and using the Stockwell Transform, different characteristics were obtained in the electrical signals that allowed defining fault conditions in the bearing, classification of the type of fault, and the location of the defective bearing (fan side or load side). By calculating the difference between the total harmonic distortion of the current and voltage signal, it is possible to identify a threshold value of 0.004 that separates a healthy condition and a fault condition. The joint use of the Stockwell Transform and the Fisher Scoring Algorithm allows us to classify the fault conditions with an average precision of 92.5%. The location of a bearing with defects on the load side generates a greater amplitude in the signal compared to those located on the fan side. This behavior allows establishing a threshold value of 1.6 for ball faults and 0.001 for cage faults and outer race. Due to the results obtained, the algorithm proposed in the study is considered to be a tool with a high degree of reliability for the diagnosis of bearings in induction motors.

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Detection of outer raceway bearing defects in small induction motors using stator current analysis

Cited by 16 publications

References 5 publications

Diagnosis of Bearing Faults of Induction Motors by Spectral Analysis of Stator Currents

Diagnosis of Bearing Faults of Induction Motors by Spectral Analysis of Stator Currents

Condition monitoring studies on ball bearings considering solid contaminants in the lubricant

A new methodology for detection of bearings faults in three-phase induction motor

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