Unknown

Dataset Information

0

An attribute control chart for a Weibull distribution under accelerated hybrid censoring.


ABSTRACT: In this article, an attribute control chart has been proposed using the accelerated hybrid censoring logic for the monitoring of defective items whose life follows a Weibull distribution. The product can be tested by introducing the acceleration factor based on different pressurized conditions such as stress, load, strain, temperature, etc. The control limits are derived based on the binomial distribution, but the fraction defective is expressed only through the shape parameter, the acceleration factor and the test duration constant. Tables of the average run lengths have been generated for different process parameters to assess the performance of the proposed control chart. Simulation studies have been performed for the practical use, where the proposed chart is compared with the Shewhart np chart for demonstration of the detection power of a process shift.

SUBMITTER: Aslam M 

PROVIDER: S-EPMC5336291 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

An attribute control chart for a Weibull distribution under accelerated hybrid censoring.

Aslam Muhammad M   Arif Osama H OH   Jun Chi-Hyuck CH  

PloS one 20170303 3


In this article, an attribute control chart has been proposed using the accelerated hybrid censoring logic for the monitoring of defective items whose life follows a Weibull distribution. The product can be tested by introducing the acceleration factor based on different pressurized conditions such as stress, load, strain, temperature, etc. The control limits are derived based on the binomial distribution, but the fraction defective is expressed only through the shape parameter, the acceleration  ...[more]

Similar Datasets

| S-EPMC3718081 | biostudies-literature
| S-EPMC7817043 | biostudies-literature
| S-EPMC5344516 | biostudies-literature
| S-EPMC6767103 | biostudies-literature
| S-EPMC7450966 | biostudies-literature
| S-EPMC8416639 | biostudies-literature