基于修正 q -威布尔分布的矿用卡车可靠性分析

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Abstract：In order to more accurately describethe failure pattrn of mining trucks in open-pit mines and improve the accuracyofreliabilityanalysis，a new alpha transformation is constructed.On this basis，a four-parameter new alpha transformed q -Weibull distribution model is proposed，and the parameters of the model are estimated using acombination of dung beetle optimization algorithm and maximum likelihood estimation.The rationality and effectiveness of using the new alpha transformed q -Weibull distribution model to evaluate the reliabilityof mining trucks are verified through comparison of examples.Numerical test results show that using the model to analyze the time between faults of mining trucks and formulating corresponding preventive maintenance cycles can better ensure the safe and stable operation of mining trucks.

Keywords：mining trucks;reliability analysis;new alpha transformed q -Weibull distribution；dung beetle optimization algorithm; preventive maintenance cycle; maximum likelihood estimation

0引言

随着信息技术、人工智能技术的飞速发展，矿产资源开发利用的智能化特征日益显著，例如，煤矿露天开采中，以设备智能化为代表的智慧露天矿建设飞速发展，矿用卡车作为电铲-卡车间断开采工艺和半连续开采工艺中最为重要的运输设备，在智慧露天矿建设进程中扮演着重要的角色。（剩余12880字）