RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION

LI AnHong; ZHU JunHua; YU Ling

doi:10.16579/j.issn.1001.9669.2024.04.018

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RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION

Optimzation · Reliability | 更新时间：2024-12-26

- RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION
- Journal of Mechanical Strength Vol. 46, Issue 4, Pages: 893-897(2024)
- 作者机构：
  
  1. 暨南大学力学与建筑工程学院重大工程灾害与控制教育部重点实验室
  2. 工业和信息化部电子第五研究所
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2024.04.018
  CLC： TB115
- Published：15 August 2024，
- 稿件说明：
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LI ANHONG, ZHU JUNHUA, YU LING. RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION. [J]. Journal of mechanical strength , 2024, 46(4): 893-897.
DOI：

LI ANHONG, ZHU JUNHUA, YU LING. RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION. [J]. Journal of mechanical strength , 2024, 46(4): 893-897. DOI： 10.16579/j.issn.1001.9669.2024.04.018.

摘要

为了对机械密封件进行快速准确的可靠性评估

采用三参数威布尔(Weibull)分布对机械密封故障数据进行建模

将机械密封可靠性评估问题转化为约束优化问题

提出基于人工蜂鸟算法(Artificial Hummingbird Algorithm

AHA)的可靠性评估方法

并通过数值模拟和实例分析比较了极大似然估计(Maximum Likelihood Estimation

MLE)法、改进哈里斯鹰优化(Improved Harris Hawks Optimization

IHHO)算法和AHA在求解Weibull分布参数估计问题中的计算精度及运行效率。结果表明

基于AHA进行参数估计具有收敛速度快和计算精度高的优点

较MLE和IHHO算法寻优时间缩短且精度提高

从而为机械密封的可靠性评估提供了一种新的高效方法。

Abstract

In order to quickly and accurately evaluate the reliability of mechanical seals

the three⁃parameter Weibull distribution was used to model the mechanical seal failure data.The reliability evaluation problem of mechanical seal was transformed into a constraint optimization problem

and a reliability evaluation method based on artificial hummingbird algorithm(AHA)was proposed.Through numerical simulation and case analysis

maximum likelihood estimation(MLE)

improved Harris Hawks optimization(IHHO)algorithm and AHA were used to compare calculation accuracy and operational efficiency in solving the Weibull distribution parameter estimation problems.The results show that the parameter estimation using AHA has advantages of faster convergence speed and higher accuracy

and it can shorten the optimization time and improve the accuracy compared with MLE algorithm and IHHO algorithm

which provides a new and efficient method for Weibull parameter estimation of mechanical seals.

关键词

机械密封三参数威布尔分布人工蜂鸟算法可靠性

Keywords

Mechanical sealThree-parameter Weibull distributionArtificial hummingbird algorithmReliability

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