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优化预防性维护周期以降低预期停机时间及其对提高可靠性的影响。

Optimal Periods of Conducting Preventive Maintenance to Reduce Expected Downtime and Its Impact on Improving Reliability.

机构信息

Department of Mathematics, College of Science and Humanities in Al-Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Al-Aflaj 11942, Saudi Arabia.

Administration Department, Administrative Science College, Thamar University, Thamar, Yemen.

出版信息

Comput Intell Neurosci. 2022 Mar 3;2022:7105526. doi: 10.1155/2022/7105526. eCollection 2022.

DOI:10.1155/2022/7105526
PMID:35281192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8913151/
Abstract

The present research mainly aims to use a mathematical formula to determine the optimal intervals for conducting preventive maintenance operations for machines to reduce the expected failure time when the malfunction data follow the Weibull distribution. The reliability function, failure rate, and the average time between machine failures were derived after performing preventive maintenance operations and before conducting preventive maintenance operations to state the amelioration that happens to machines. These rely on real data of performing preventive maintenance operations and the downtime required to repair machine or device faults that occur between preventive maintenance periods and the downtime necessary to perform preventive maintenance operations on the machine or device. Thus, the study concluded that preventive maintenance operations are working to increase the reliability of the machine and improve it, as well as to increase the average period of time for the machine to operate between faults.

摘要

本研究主要目的是使用数学公式来确定机器进行预防性维护操作的最佳间隔，以减少当故障数据服从威布尔分布时的预期故障时间。在进行预防性维护操作之前和之后，推导出可靠性函数、故障率和机器故障之间的平均时间，以说明机器发生的改善。这些依赖于进行预防性维护操作的实际数据以及在预防性维护期间和对机器或设备进行预防性维护操作所需的停机时间之间修复机器或设备故障所需的停机时间。因此，该研究得出结论，预防性维护操作旨在提高机器的可靠性并加以改善，同时延长机器两次故障之间的平均运行时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/73e1340526ba/CIN2022-7105526.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/5ef1bbbe1b98/CIN2022-7105526.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/cc844a2b086b/CIN2022-7105526.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/0f9bec1acf5d/CIN2022-7105526.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/e4f0756fe353/CIN2022-7105526.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/79fce8017d36/CIN2022-7105526.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/3c021078a733/CIN2022-7105526.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/73e1340526ba/CIN2022-7105526.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/5ef1bbbe1b98/CIN2022-7105526.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/cc844a2b086b/CIN2022-7105526.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/0f9bec1acf5d/CIN2022-7105526.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/e4f0756fe353/CIN2022-7105526.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/79fce8017d36/CIN2022-7105526.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/3c021078a733/CIN2022-7105526.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5142/8913151/73e1340526ba/CIN2022-7105526.007.jpg

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