Failure Evaluation of Ball Bearing for Prognostics

Nistane, V. M.; Harsha, S. P.

doi:10.1016/j.protcy.2016.03.015

Cited by 20 publications

(10 citation statements)

References 12 publications

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“…Comparison of acceleration parameters like RMS, peak, and peak to peak amplitude was focused by authors during the study. Recently, the Bearing Prognostic Simulator is used to examine the vibration signatures by V M Nistane et al 13 Accordingly, vibration spectra provide enough information to express the position of defect in the bearing.…”

Section: Introductionmentioning

confidence: 99%

Investigation of grease lubricated deep groove ball bearing with multi-defected outer race using vibration signature analysis

Utpat¹,

Ingle²

2021

Noise & Vibration Worldwide

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Failure of any rotary machine is mainly due to bearing failure being the key element. Defect frequency is the function of speed, ball diameter, and pitch circle diameter of bearing. The number of defects does not affect the excitation frequency, but increase in the level of vibrations is observed in total. The inner race is mounted on the rotary shaft, and the outer race is fixed in the housing. Hence, a defect on the outer race does not rotate with the shaft. This article highlights the study of the multi-crack detection technique at a comparatively higher speed. Amplitudes of vibrations increase with speed, but with load, they almost remain the same. The experiment has been performed at the range from 1000 to 5000 r/min with 5 kg load on the test bearing. The location and size of the defect affect the level of vibrations with noticeable increase. However, the presence of a second defect with respect to the load zone plays an important role. As the defect is at the peak position in the load zone, outer race defect frequency excites more in the vibration spectra. The location and size of the second defect are varied, and acceleration amplitude parameters like RMS, peak, and peak to peak are compared. The current work emphasizes the effect of location and severity of the second defect on the vibration spectra and amplitude parameters of the vibrations.

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Section: Introductionmentioning

confidence: 99%

Investigation of grease lubricated deep groove ball bearing with multi-defected outer race using vibration signature analysis

Utpat¹,

Ingle²

2021

Noise & Vibration Worldwide

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“…Feature extraction from bearing vibration signal is made easy with the signal processing techniques. 16 The data obtained from the experiment can be used to model the linear relationship between variables using the traditional probabilistic method. But most of the industrial process variables needed to model are characteristically in a non-linear relationship.…”

Section: Introductionmentioning

confidence: 99%

Combination of envelope spectra and generative topographic mapping to diagnose bearing fault and evaluate degradation of bearing

Nistane

Harsha

2019

Noise & Vibration Worldwide

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Functioning of rotary machines is based on the rolling element of bearings, as the rolling element of bearings is the crucial component of rotary machines. The entire operation of rotating machines may terminate after the failure of rolling element of bearings. Hence, the failure of rotating machine is mainly dependent on rolling element of bearings, as it may break down an entire process. Thus, to avoid the sudden breakdown of rotary machines, it is essential to develop the diagnostics and prognostics methodology of rolling element of bearings. In the rolling element of bearings, the assessment of bearing degradation and fault diagnostics is essential to establish the methodology. Therefore, this article proposes a methodology to diagnose the fault of bearing and to assess bearing degradation. Envelope spectra and generative topographic mapping are used together in the methodology proposed. Selection of frequency band based on encompasses one or more resonance of spectrum of signal. Envelope spectrum is determined to pick up the peak of the characteristic fault frequencies of the bearing. Extraction of features from time and frequency domains is used in the generative topographic mapping. Health degradation index, an index termed as evolution of bearing degradation, is obtained from the classifier of generative topographic mapping. Experiments were conducted on the bearings to verify the proposed methodology. On interpreting the obtained results, it was found that the proficiency of proposed methodology is most appropriate for detecting the fault in bearing and tracking the degradation evolution in bearings.

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“…The system non-linearity which produces phenomenon like bifurcation and routes to chaos has been well explained by Mevel and Guyader. 19 Nistane and Harsha 20,21 recently conducted the experimental work to study the failure behaviour of ball bearing and later he used various machine learning techniques such as k-Nearest Neighbours, support vector machine and decision tree to represent the fault feature of bearing prognostics.…”

Section: Introductionmentioning

confidence: 99%

Non-linear dynamic response analysis of cylindrical roller bearings due to rotational speed

Patra

Saran

Harsha

2018

Proceedings of the Institution of Mechanical Engineers, Part K:

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The dynamic behaviour of cylindrical roller bearings is presented, in both balanced and unbalanced conditions as a function of speed. The stiffness and damping non-linearities at the contact points (due to Hertzian contact force between rollers and races), radial internal clearance and unbalanced rotor force make the bearing system non-linear. Presently, the differential equations representing the dynamics of the cylindrical roller bearings have been obtained using Lagrange’s equation and solved numerically using modified Newmark-β method. The results of the analyses of various motion behaviours are presented as time–displacement responses, orbit plots, phase portraits, Poincaré maps and Fast Fourier Transform plots. The obtained responses revealed the sensitive behaviour of the system from periodic to quasi-periodic and chaotic with speed variations for both balanced and unbalanced rotor conditions. Also, intermittent chaotic behaviour has been observed. A pattern of the interaction between rotational and variable compliance vibration is observed with speed variations. The frequency pattern analysis (with different techniques used like phase/orbit plots and Poincaré plots) for healthy cylindrical bearing and different rotor conditions under different applied non-linearity consideration is a new attempt to analyse dynamic behaviour of the bearing. This analysis is helpful for online monitoring of fault-free cylindrical roller bearings and for studying the impact of speed on system’s dynamical behaviour.

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Failure Evaluation of Ball Bearing for Prognostics

Cited by 20 publications

References 12 publications

Investigation of grease lubricated deep groove ball bearing with multi-defected outer race using vibration signature analysis

Investigation of grease lubricated deep groove ball bearing with multi-defected outer race using vibration signature analysis

Combination of envelope spectra and generative topographic mapping to diagnose bearing fault and evaluate degradation of bearing

Non-linear dynamic response analysis of cylindrical roller bearings due to rotational speed

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