Monte Carlo Simulation of Sudden Death Bearing Testing

Vlcek, Brian L.; Hendricks, R. C.; Zaretsky, E. V.

doi:10.1080/05698190490431867

Cited by 23 publications

(11 citation statements)

References 10 publications

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“…Sudden death testing in groups is preferred over the single tester as it reduces the testing cost of the product. Sudden death testing technique has been explored by many quality control researchers including [3][4][5][6]. It is common to use the Weibull distribution for modeling lifetime phenomena.…”

Section: Introductionmentioning

confidence: 99%

A new sudden death chart for the Weibull distribution under complexity

Arif

Aslam

2021

Complex Intell. Syst.

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This article presents a new control chart for monitoring reliability using sudden death testing under the neutrosophic statistics (NS). The average run lengths of the in-control and the out-of-control process have been determined for evaluating the quick detection ability for small and moderate shifts. For the industrial use, tables and figures have been presented for different parameters. The proposed control chart is efficient in comparison with the existing control chart under classical statistics and value addition in the toolkit of the quality control personnel.

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Section: Introductionmentioning

confidence: 99%

A new sudden death chart for the Weibull distribution under complexity

Arif

Aslam

2021

Complex Intell. Syst.

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“…Sometimes, to reduce testing time, group acceptance sampling plans have been used. In this case the total number of items ͑n͒ to be tested is divided into equal-sized groups according to the number of available experimental testers, see, for example, Pascual and Meeker [6] or Vleck, Hendricks, and Zaretsky [7]. There are r items in each group, and there are a total of "g" groups, so that n = rg.…”

Section: Introductionmentioning

confidence: 99%

Time Truncated Group Acceptance Sampling Plans for Generalized Exponential Distribution

Aslam

Kundu

Jun

et al. 2011

Journal of Testing and Evaluation

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Two group acceptance sampling plans are considered for a two-parameter generalized exponential distribution when the life-test is truncated at a pre-specified time. It is assumed that the shape parameter of the generalized exponential distribution is known. The design parameters such as the number of groups and the acceptance number are obtained by satisfying the producer's and consumer's risks at the specified quality levels in terms of medians, under the assumption that the termination time and the number of items in each group are prefixed. Examples are provided for illustrative purposes.

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“…33), in sudden death testing, the total number of specimens to be evaluated is divided into equal subgroups that can be evaluated simultaneously. The first subgroup of specimens is run simultaneously until the first failure occurs.…”

Section: Appendix B-sudden Death Testing Techniquesmentioning

confidence: 99%