Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

Qin, Luosheng; Shen, Xuejin; Chen, Xiaoyang; Gao, Pandong

doi:10.5545/sv-jme.2016.3898

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…To summarize, it better reflects engineering reality to model the reliability and evaluate a product's life from competing points of view. However, many studies constructed competing failure models when traumatic failure information existed [25][26][27][28]. They did not involve a zero traumatic failure data situation, which is the most common actual engineering situation during the period of using a product with high reliability.…”

Section: Introductionmentioning

confidence: 99%

Life Assessment for Motorized Spindle with Zero Traumatic Failure Data Based on Subdistribution Competing Risk Model

et al. 2023

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Considering the influence of performance degradation on a product’s traumatic failure, under the condition that only degradation data are observed and no traumatic failure data are observed, this paper proposes a subdistribution competing risk model to achieve a motorized spindle life assessment. This paper assumes that the failure rate ratio of the tested products does not change with time under different stress levels. Basic reliability with zero traumatic failure data is modeled by a unilateral confidence limit method under a two-parameter Weibull distribution. Performance degradation data are taken as covariates. The regression coefficients of the covariates are calculated by SPSS software. Then, a subdistribution competing risk model is constructed, which reflects the dependency relationship between reliability and performance degradation, and the product’s reliability life can be evaluated accordingly. The correctness and advantages of the model built in this paper are verified by a case analysis combined with the performance degradation information of a motorized spindle.

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Section: Introductionmentioning

confidence: 99%

Life Assessment for Motorized Spindle with Zero Traumatic Failure Data Based on Subdistribution Competing Risk Model

et al. 2023

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“…G. Wang et al [14] used Failure mode effects and critical analysis (FMECA) for analyzing small sample of failure data of diesel engines. L. Qin et al [15] analyzed the reliability of bearings based on performance attenuation data. E. J. Ahn et al [16], described the methods used in systematic reviews and meta-analyses in medical sciences.…”

Section: Introductionmentioning

confidence: 99%

Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation

et al. 2021

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Dumpers or dump trucks are used all over the world to move overburden from many opencast mines. Diesel engines are the main driving force behind the trucks. The frequency of damage due to the failure of diesel engines is enormous. Therefore, efforts are necessary to analyze failure to reduce the downtime periods. A detailed analysis of engine failure at the subsystem level needs to be done. Reliability analysis and maintenance planning remain the norm in this regard. The obstacle faced while analysing the reliability of dumpers was the availability of a large number of data failures. In this paper, this issue is addressed by using Common Beta Hypothesis test and Meta-analysis test. The engine is divided into five subsystems. The result shows that all five subsystems pass the CBH test and Meta-analysis test. Accordingly, the failure data is grouped. The trend test of grouped failure data shows that the Failure data of two subsystems follows the independent and identically distributed characteristics while the remaining three do not follow it. The reliability is estimated for all five subsystems. Finally, fuel supply subsystems show the highest reliability while the lowest value is seen for self-starting subsystems.

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“…The method was based on failure mode effects and criticality analysis (FMECA). The paper written by L. Qin et al [15] discussed the increasing number of failure data of bearings, based on performance degradation data, in order to estimate distribution parameters. The authors concluded that the small size of the failure data could be used in a reliability analysis [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…The paper written by L. Qin et al [15] discussed the increasing number of failure data of bearings, based on performance degradation data, in order to estimate distribution parameters. The authors concluded that the small size of the failure data could be used in a reliability analysis [13][14][15][16][17][18]. W. Si et al [19] suggested the reliability model for repairable systems.…”

Section: Introductionmentioning

confidence: 99%

Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment

et al. 2021

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It is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out.

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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

Cited by 7 publications

References 25 publications

Life Assessment for Motorized Spindle with Zero Traumatic Failure Data Based on Subdistribution Competing Risk Model

Life Assessment for Motorized Spindle with Zero Traumatic Failure Data Based on Subdistribution Competing Risk Model

Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation

Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment

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