A proposed approach for approximating lower truncated normal cumulative distribution: application to reliability of used devices. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Hamasha, Mohammad M.; Ali, Haneen; Aqlan, Faisal; Ahmed, Abdulaziz; Hamasha, Sa'd
• Is Part Of: Cogent engineering. Volume 9:Issue 1(2022)
• Publication Date: 2022-12-31
• Subjects: index -- TermsTruncated normal distribution -- Lower truncated normal distribution -- Reliability engineering; Engineering -- Periodicals; Technology -- Periodicals; Engineering; Technology; Periodicals; 620
• DOI: 10.1080/23311916.2022.2154000
• Languages: English
• ISSNs: 2331-1916

Abstract

Abstract: The distribution of a normally distributed hardware is changed to a lower truncated normal distribution after it has been in service for a certain period. Therefore, it is necessary to approximate this type of distribution with simple, applicable and accurate models. In the current paper, a model is proposed to represent the lower truncated normal distribution very accurately. To evaluate the model's accuracy, the truncation is used up to 50% of the original domain from left. The results show an increase in the model maximum deviation from true lower truncated normal distribution with the truncation percentage. At 50% truncation, the maximum deviation is 0.0000212. Besides being very accurate, the model is viable and simple, and it can be used manually, or with the help of a spreadsheet.