A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques

Rezaei, Aida; Dadouche, Azzedine; Wickramasinghe, Viresh; Dmochowski, Waldemar

doi:10.1080/10402004.2010.533817

Cited by 28 publications

(14 citation statements)

References 17 publications

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“…In [8] the effectiveness of two ultrasonic sensors, namely, air-coupled (noncontact) and piezoelectric ultrasonic (contact) transducers for rolling element bearings damage diagnostics, it investigated running with defective and undamaged bearings under variable shaft speeds and several radial loads. The results showed that certain acoustic features were responsive to the variation of operational condition and the damage; the detection capability of the sensors fluctuated depending on the defect size, its location, as well as the applied signal analysis technique.…”

Section: Bearing Monitoringmentioning

confidence: 99%

Ultrasonic-based monitoring of tapered roller bearings in frequency and time domains

Méndez

Sánchez

Gordillo³

2017

Ingeniare. Rev. chil. ing.

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In this paper the ultrasonic signal is used for early failure detection in tapered roller bearings. The faults studied were localized in outer race, inner race, cage and the rolling elements. The implemented failures emulate three distinct levels of severity. The ultrasonic signal analysis is performed using time domain parameters i.e. kurtosis and RMS, and in the frequency domain using the power spectral density obtained by the Welch periodogram. Although none of the studied parameter was able to extract the fault location, the RMS parameter presents the best performance as a feature to monitor allowing to identify faulty conditions and evaluate qualitatively the severity of the fault.

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Section: Bearing Monitoringmentioning

confidence: 99%

Ultrasonic-based monitoring of tapered roller bearings in frequency and time domains

Méndez

Sánchez

Gordillo³

2017

Ingeniare. Rev. chil. ing.

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“…The results highlighted the dependency of lubricant viscosities on the wear rates. Rezaei, et al (19) made an attempt to experimentally study the applications of ultrasonic and vibration sensors to detect incipient faults in rotating machine elements such as gears and bearings. Air-coupled and piezoelectric ultrasound transducers were used to detect faults in the bearing operating under variable shaft speeds and several radial load conditions.…”

Section: Introductionmentioning

confidence: 99%

Surface Contact Fatigue Failure Assessment in Spur Gears Using Lubricant Film Thickness and Vibration Signal Analysis

Amarnath

Sujatha

2015

Tribology Transactions

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Gears are very common machine elements that are used to transmit power. During power transmission, the gear teeth are subjected to high contact pressure, leading to wear and tear, even though adequate lubrication is used. When gears operate near their maximum load capacity, very high contact pressure occurs at the mesh interference. This may lead to partial breakdown of the lubricant film at the gear teeth contact surface, thereby triggering distributed faults on gear teeth, viz. scuffing, scoring, spalling, pitting, and mild wear. Currently there are three different approaches to the detection of faults in geared systems: vibration analysis, oil/wear particle analysis, and acoustic signal analysis. Generally, in an industrial environment, vibration analysis and oil/ wear particle analyses are conducted independently, but of late there are requirements in the diagnostic world for more reliable and effective diagnostic information regarding fault growth in machinery components. In the present work, experimental investigations are carried out to assess surface fatigue wear on spur gear teeth of back-to-back power recirculation-type spur gearbox; in particular, vibration signal analysis using continuous wavelet transform is used in conjunction with specific film thickness studies. Specific film thickness analysis provided details of lubrication regimes in gear teeth contacts and corresponding wear propagation on gear teeth, and the vibration signals acquired from a gear pair are postprocessed using Morlet wavelet transform. Results obtained from the integration of specific film thickness analysis and wavelet transform provide better diagnostic information than the lubricant film thickness estimation alone for detection of gear faults.

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“…The healthy condition of the bearing is directly related to the operation of the mechanical systems. Recently, different monitoring techniques have been developed to capture the bearing fault-induced change of variables, such as acoustic, vibration, thermal and oil debrisbased symptoms [1][2][3][4]. Among them the vibration-based bearing defect diagnostics has attracted extensive interests from both academia and industry.…”

Section: Introductionmentioning

confidence: 99%

Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis

Liang

2012

Journal of Sound and Vibration

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A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques

Cited by 28 publications

References 17 publications

Ultrasonic-based monitoring of tapered roller bearings in frequency and time domains

Ultrasonic-based monitoring of tapered roller bearings in frequency and time domains

Surface Contact Fatigue Failure Assessment in Spur Gears Using Lubricant Film Thickness and Vibration Signal Analysis

Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis

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