How to reveal the influence of human factor?

机译：如何揭示人类因素的影响？

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摘要

Estimating the influence of human factor on the activity of operators of complex technical systems is an important problem for condition monitoring personnel training and diagnostics. Presented are both an overview and mutual comparisons of the approaches which are useful to reveal the effect of human factor and have already shown their performances in practical applications. Under consideration are: the structural equation modeling, the Bayesian estimations for probabilistic models represented by Markov random processes, the multivariate statistical techniques including the discriminant and cluster analysis as well as wavelet transforms.

机译：估计人为因素对复杂技术系统运营商活动的影响是条件监测人员培训和诊断的重要问题。展示既概述了揭示人类因素效果的方法的概述和相互比较，并已经在实际应用中表现出了它们的性能。正在考虑的是：结构方程建模，Markov随机过程代表的概率模型的贝叶斯估计，包括判别和集群分析以及小波变换的多变量统计技术。

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《International Conference on Condition Monitoring and Asset Management》|2019年|451p|共18页
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作者
L. S. Kuravsky; G. A. Yuryev;
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原文格式 PDF
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中图分类 TH-53;
关键词
Operators of complex technical systems; Human factor; Condition monitoring; Factor analysis; Structural equation modeling; Markov random processes; Wavelet transform; Multivariate statistical techniques; Principal components analysis; Multidimensional scaling; Cluster analysis;

机译：复杂技术系统的运营商;人的因素;状态监测;因子分析;结构方程模型;马尔可夫随机过程;小波变换;多变量统计技术;主要成分分析;多维缩放;聚类分析;

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How to reveal the influence of human factor?

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