Production Safety Evaluation Model Based on Principal Component Analysis

被引:3
|
作者
Chen, Hongmei [1 ]
Ning, Yucai [1 ]
Sun, Xudong [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Management, Beijing 100083, Peoples R China
来源
ISMSSE 2011 | 2011年 / 26卷
关键词
Production safety; principal component analysis; aggregation operators;
D O I
10.1016/j.proeng.2011.11.2389
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
This paper carry out principal component analysis for daily production safety assessment data based on principal component analysis (PCA). By defining principal component weighted mean aggregation operator and weighted geometric aggregation operators, we construct 6 comprehensive evaluation functions with different properties to establish a new production safety evaluation mathematical model. The proposed model can achieve safety assessment from the scattered data and qualitative analysis into systematically quantitative analysis, simplify the data processing work of safety evaluation, and provide effective analysis techniques for the daily production safety from the point of view of the time point, individual and overall. At last, apply the model to the assessment in coal mine driving production safety, and the results proved its usefulness and effectiveness. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of China Academy of Safety Science and Technology, China University of Mining and Technology(Beijing), McGill University and University of Wollongong.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Evaluation Model of Region Traffic Safety Based on Principal Component Analysis
    Li, Qiangwei
    I2MTC: 2009 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3, 2009, : 230 - 233
  • [2] Evaluation of Road Safety Based on Principal Component Analysis
    Chen Xue-Mei
    Wei Zhong-Hua
    Gao Li
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 5601 - 5605
  • [3] Green production benefit evaluation model of trade products based on principal component analysis
    Liu X.
    International Journal of Product Development, 2020, 24 (2-3) : 217 - 234
  • [4] Traffic Safety Evaluation of the Provincial Regions in China Based on Principal Component Analysis
    Ma Sheqiang
    Shao Chunfu
    Zhai Runping
    Liu Dong
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 864 - +
  • [5] A performance evaluation model for transportation projects based on principal component analysis
    Zhao, Q.
    Zhou, Y.
    Guo, W.
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2018, 21 (04): : 979 - 989
  • [6] Nonlinear evaluation model based on principal component analysis and neural network
    He, Fang-Guo
    Qi, Huan
    Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology, 2007, 29 (08): : 183 - 186
  • [7] EVALUATION OF EGG PRODUCTION CURVES BY PRINCIPAL COMPONENT ANALYSIS
    TONKINSON, LV
    HAVENS, ML
    GARD, DI
    POULTRY SCIENCE, 1969, 48 (05) : 1882 - +
  • [8] Disassembly Evaluation Based On Principal Component Analysis
    Zhao, Na
    Mu, Rui
    Wang, Wenwu
    ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 2894 - 2899
  • [9] A reservoir production optimization method based on principal component analysis and surrogate model
    Zhang K.
    Chen G.
    Xue X.
    Zhang L.
    Sun H.
    Yao C.
    Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2020, 44 (03): : 90 - 97
  • [10] Civil aviation safety evaluation based on deep belief network and principal component analysis
    Ni, Xiaomei
    Wang, Huawei
    Che, Changchang
    Hong, Jiyu
    Sun, Zhongdong
    SAFETY SCIENCE, 2019, 112 : 90 - 95