Condition monitoring of low speed bearings: A comparative study of the ultrasound technique versus vibration measurements

“…The bearing internal temperature field is complex, so the more current research is how to obtain the internal temperature field and how the temperature field affects the bearing performance [105][106][107][108]. Ultrasonic detection can also be used in bearing condition monitoring [109][110]. In recent years the ultrasonic detection applied to measure the oil film thickness of rolling bearing lubrication [111][112][113], in order to obtain the state of rolling bearing [114].…”

Section: Other Analytical Techniquesmentioning

confidence: 99%

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Duan

Guo

et al. 2018

Int J Adv Manuf Technol

164

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A rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings' performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents, equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, finally the advantages, disadvantages and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings.

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“…These defects are inherent in the bearing material or imposed in the form of contaminating particles from the environment. These defects reveal themselves as momentary peaks in the ultrasound signature of the bearing during low speed operation [2,3]. In either case, the frictional effect of the irregularity may be calculated as follows (Figs.…”

Section: Instantaneous Torquementioning

confidence: 99%

“…The sound produced by a ball bearing can be traced to defects and/or solid foreign objects that interfere with the rolling of a ball over a race surface [1][2][3][4]. The human ear is not capable of hearing the high frequency sounds generated by impacts between ball and race as the rolling contact between them is periodically impeded.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Bearing Defects Using a Heterodyning Ultrasound Detector

taylor

Wiggins

2015

J Fail. Anal. and Preven.

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A single row ball bearing was presented to the Failure Analysis Lab because of noise and perceived roughness during low speed operation. The bearing was analyzed using a heterodyning ultrasound detector. Discrete sources of intermittent noise were detected. A quasi-static determination of the friction coefficient of the bearing was made. Contamination by hard foreign objects was suspected. The bearings were solvent washed, and particles of aluminum were recovered. The size of these particles was related to the static friction coefficient of the bearing. The cleaned bearings were retested and found to have residual friction related to microscopic defects caused by inclusions and voids in the races and balls. A generalized theory was formulated to account for the relation between noise and static friction.

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Condition monitoring of low speed bearings: A comparative study of the ultrasound technique versus vibration measurements

Cited by 23 publications

References 0 publications

Multivariate and multiscale monitoring of large-size low-speed bearings using Ensemble Empirical Mode Decomposition method combined with Principal Component Analysis

Multivariate and multiscale monitoring of large-size low-speed bearings using Ensemble Empirical Mode Decomposition method combined with Principal Component Analysis

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Diagnosis of Bearing Defects Using a Heterodyning Ultrasound Detector

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