当前位置: X-MOL 学术Russ. Electr. Engin. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An Intelligent Evaluation System for Predicting Engine Driver Reliability
Russian Electrical Engineering Pub Date : 2020-11-23 , DOI: 10.3103/s1068371220090126
V. G. Sidorenko , M. A. Kulagin

Abstract

An intelligent system is considered for evaluating and predicting engine driver reliability is considered. This is based on predicting possible engine driver’s violations, depending on his previous experience and the formation of appropriate recommendations. The problem of predicting possible violations is solved using tools and machine learning algorithms. The proposed system makes it possible to predict violations that may be committed by a driver and to increase the reliability of electric stock safety systems by targeted management of the human factor.



中文翻译:

预测发动机驾驶员可靠性的智能评估系统

摘要

考虑了一种用于评估和预测发动机驾驶员可靠性的智能系统。这是基于对发动机驾驶员可能违规行为的预测,具体取决于他以前的经验和适当建议的形成。使用工具和机器学习算法可以解决预测可能的违规问题。所提出的系统使得可以预测驾驶员可能犯下的违规行为,并且可以通过对人为因素进行有针对性的管理来提高电气安全系统的可靠性。

更新日期:2020-11-25
down
wechat
bug