用多种类型的备件进行反加工系统的概率早期故障检测模型
Mohamed Abd Allah El-Hadidy1, Assem Omar Elshenawy2
1Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt. melhadidi@science.tanta.edu.eg.
Scientific reports
|December 19, 2023
概括
本研究提出了使用纠正和预防性维护的加工系统的质量控制政策. 它模拟系统可靠性和故障检测概率,以优化维护策略.
科学领域:
- 工业工程 工业工程 工业工程
- 运营研究 运营研究
- 可靠性工程可靠性工程
背景情况:
- 机械加工系统需要强有力的质量控制维护政策.
- 纠正和预防性维护策略对于系统正常运行时间和性能至关重要.
- 现有的模型可能无法完全捕捉到具有维修服务器和质量检查的有限源系统的复杂性.
研究的目的:
- 制定质量控制政策,整合反加工系统的纠正和预防性维护.
- 为了建模一个有有限源,备用单元,维修服务器和质量检查员的系统.
- 分析系统状态的概率和早期故障检测.
主要方法:
- 用特定组件的反加工系统开发数学模型.
- 利用拉普拉斯变换和一个高效的算法来计算系统中n个单位的确切概率.
- 导出早期故障检测的概率作为时间和稳定状态的函数.
主要成果:
- 基于拉普拉斯变换的精确算法提供了系统状态概率.
- 导出早期故障检测的概率,考虑时间依赖和稳定状态条件.
- 讨论了该模型在各种系统容量的适用性.
结论:
- 拟议的模型提供了一个框架,通过综合维护策略优化质量控制.
- 这些发现支持通过量化早期故障检测来促进预防性维护.
- 该模型可以适应不同的系统规模和运营环境.
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