摘要
井下机电事故发生的频率受到很多因素的影响。为分析并建立多因素影响预测井下机电事故发生的概率,收集了我国21个矿区的大量统计数据,对机电事故发生情况进行统计分析,得到影响机电事故率的因素包括人员素质、井下环境、机电检修频率和管理水平。分析过程中采用多元统计分析的科学方法,并用该方法建立了机电事故发生率的预测模型,该模型的预测精度和结果的可信度较高,符合工程生产中的应用。
Frequency of electromechanical accidents in underground mine was affected by many factors. In order to analyze and establish many factors influence to predict mine electromechanical accident probability, a large number of statistical data of 21 mining area in our country were collected to analyze occurrence of electromechanical accident statistically, including factors of personnel quality, underground environment, electrical maintenance frequency and management level. Scientific method of multivariate statistical analysis was used to establish predicting model of incidence of electromechanical accident, which had high reliability of prediction accuracy and results, comforting to application of engineering production.
出处
《煤炭与化工》
CAS
2017年第2期151-153,共3页
Coal and Chemical Industry
基金
国家自然科学基金(51274116)
关键词
机电事故率
机电事故
多元统计分析
机电事故影响因素
mechanical and electrical accident rate
electromechanical accident
multivariate statistical analysis
influencing factors of mechanical and electrical accident
