研究基于多来源先前信息的高可靠性系统的三态可靠性评估方法.
Jingde Huang1, Zhangyu Huang2, Xin Zhan3
1Guangdong Intelligent Vision Precision Detection Engineering Technology Research Center, Zhuhai College of Science and Technology, Zhuhai, China.
PeerJ. Computer science
|August 7, 2023
概括
本研究介绍了高可靠性系统的新型可靠性评估方法,利用多来源的先前信息来准确评估设备状态并降低测试成本. 拟议的方法支持知情的预防性维护,并提供显著的经济效益.
科学领域:
- 工程 工程师 工程师 工程师
- 可靠性工程可靠性工程
- 系统工程 系统工程
背景情况:
- 高可靠性系统是复杂的,昂贵的,通常涉及小样本大小,在可靠性要求和测试费用之间产生冲突.
- 传统的可靠性评估面临挑战,因为难以准确地判断系统状态和不必要的维护风险.
- 了解三个工作状态 (安全性,潜在故障,功能故障) 对于有效的可靠性评估至关重要.
研究的目的:
- 开发高可靠性设备的可靠性评估模型,使用多来源的先前信息,特别是在小样本规模的条件下.
- 解决多州系统可靠性评估的挑战,并提供一种科学方法来评估条件.
- 为了降低采样测试成本,同时确保系统可靠性.
主要方法:
- 融合多个来源的先前信息,包括来自不同状态的历史测试数据 (安全性,潜在故障,功能故障).
- 开发一个可靠性评估模型,以非信息的先前分布为基础,用于多状态系统.
- 应用科学计算方法进行条件评估和基金保证.
主要成果:
- 拟议的三态可靠性评估方法与实际的工程场景保持一致.
- 该方法准确评估高可靠性系统的可靠性状态.
- 测试成本大幅降低,证明了良好的经济效益.
结论:
- 该研究为高可靠性系统的预防性维护提供了科学理论基础.
- 开发的方法为可靠性评估和优化提供了实际的想法和方法.
- 该研究强调了利用多个来源的先前信息的价值,以进行具有成本效益和准确的可靠性评估.
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