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基于功率转换的柔性韦布尔分布的新修改:蒙特卡洛模拟和应用
Faridoon Khan1, Zubair Ahmad2, Saima K Khosa3
1Pakistan Institute of Development Economics, Islamabad 44000, Pakistan.
Heliyon
|July 10, 2023
概括
研究人员开发了一种新的灵活统计模型,即贝塔功率非常灵活的韦布尔分布,以准确分析具有非单调形状的复杂工程故障数据. 这种新模型的性能优于预测未来事件和理解故障率的传统方法.
科学领域:
- 统计建模 统计建模
- 可靠性工程可靠性工程
- 可能性分布的概率分布.
背景情况:
- 工程数据经常显示出具有非单调失效率的复杂结构.
- 传统的概率模型不足以描述混合状态失败行为.
- 需要灵活的统计模型来准确分析工程故障数据.
研究的目的:
- 提出和研究一种用于分析混合状态失效率的工程数据的新型统计模型.
- 为了引入新的beta功率非常灵活的韦布尔分布.
- 为了证明模型在捕捉各种失败率模式方面的能力.
主要方法:
- 开发新的贝塔功率非常灵活的韦布尔分布.
- 使用最大概率方法估计模型参数.
- 模拟研究用于评估估计器性能.
- 应用到现实世界的工程故障时间数据集.
主要成果:
- 新的贝塔功率非常灵活的韦布尔分布可以捕捉到五种不同的故障率模式:单调,下降-上升-下降,浴,下降和上升-下降-上升.
- 模拟研究证实了最大概率估计器的有效性.
- 对两个工程数据集的分析表明了该模型的实际实用性.
结论:
- 新的贝塔功率非常灵活的韦布尔分布是一种高度灵活和有效的模型,用于分析工程故障时间数据,特别是那些具有复杂,非单调的故障率的数据.
- 根据信息标准,拟议的模型与传统模型相比,提供了更好的适应性.
- 这种新分布为工程应用中的统计建模和决策提供了有价值的工具.
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