Application of Projection Pursuit Clustering Method in the Evaluation of Coal Mine Safety

2011 ◽  
Vol 71-78 ◽  
pp. 4868-4871
Author(s):  
Zhang Lin Guo ◽  
Qing Ke Song ◽  
Jun E Liu
Keyword(s):  
Coal Mine ◽  
Evaluation Model ◽  
Recognition Rate ◽  
Projection Pursuit ◽  
Safety Evaluation ◽  
Mine Safety ◽  
Safety Level ◽  
Clustering Model ◽  
Coal Mine Safety ◽  
Objective Basis

An effective and general model — projection pursuit clustering model is proposed in this paper. It can solve the incompatible problems of indexes of safety evaluation，which are uncertain，fuzzy and complex. At the same time, it improves the recognition rate of the coal mine safety evaluation model. It uses genetic algorithms to find optimal solutions for the model, the information of which can be used to research the influence of all the indexes on the evaluation of coal mine safety. The paper clusters the safety level of each coal mine according to each projection value, which provides the objective basis for decision-making of the evaluation of coal mine safety. This paper combining with the example demonstrates operation process. It also proves the method is scientific and feasible, which is of significance of coal mine safety evaluation.

scholarly journals Coal Mine Gas Safety Evaluation Based on Adaptive Weighted Least Squares Support Vector Machine and Improved Dempster–Shafer Evidence Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhenming Sun ◽  
Dong Li
Keyword(s):  
Coal Mine ◽  
Evaluation Model ◽  
Weighted Least Squares ◽  
Evidence Theory ◽  
Safety Evaluation ◽  
Mine Safety ◽  
Sensor Data ◽  
Support Vector ◽  
Coal Mine Safety ◽  
High Conflict

Gas safety evaluation has always been vital for coal mine safety management. To enhance the accuracy of coal mine gas safety evaluation results, a new gas safety evaluation model is proposed based on the adaptive weighted least squares support vector machine (AWLS-SVM) and improved Dempster–Shafer (D-S) evidence theory. The AWLS-SVM is used to calculate the sensor value at the evaluation time, and the D-S evidence theory is used to evaluate the safety status. First, the sensor data of gas concentration, wind speed, dust, and temperature were obtained from the coal mine safety monitoring system, and the prediction results of sensor data are obtained using the AWLS-SVM; hence, the prediction results would be the input of the evaluation model. Second, because the basic probability assignment (BPA) function is the basis of D-S evidence theory calculation, the BPA function of each sensor is determined using the posterior probability modeling method, and the similarity is introduced for optimization. Then, regarding the problem of fusion failure in D-S evidence theory when fusing high-conflict evidence, using the idea of assigning weights, the importance of each evidence is allocated to weaken the effect of conflicting evidence on the evaluation results. To prevent the loss of the effective information of the original evidence followed by modifying the evidence source, a conflict allocation coefficient is introduced based on fusion rules. Ultimately, taking Qing Gang Ping coal mine located in Shaanxi province as the study area, a gas safety evaluation example analysis is performed for the assessment model developed in this paper. The results indicate that the similarity measures can effectively eliminate high-conflict evidence sources. Moreover, the accuracy of D-S evidence theory based on enhanced fusion rules is improved compared to the D-S evidence theory in terms of the modified evidence sources and the original D-S evidence theory. Since more sensors are fused, the evaluation results have higher accuracy. Furthermore, the multisensor data evaluation results are enhanced compared to the single sensor evaluation outcomes.

Evaluation of Non-Coal Mines Safety Emergency Capacity Based on Unascertained Measurement Model

2014 ◽  
Vol 556-562 ◽  
pp. 4638-4642
Author(s):  
Cheng Lin Pan ◽  
Zhen Hong Yang ◽  
Xiao Fang He
Keyword(s):  
Coal Mine ◽  
Evaluation Model ◽  
Measurement Theory ◽  
Safety Evaluation ◽  
Measurement Model ◽  
Mine Safety ◽  
Evaluation Indexes ◽  
Coal Mine Safety ◽  
Uncertainty Measurement ◽  
Capability Evaluation

Based on the uncertainty measurement theory, considering evaluation indexes of monitoring, personnel positioning, emergency actions, compressed air self-help, water rescue and communication, a mining emergency combat capability evaluation model is built to solve the difficulty of non-coal mine safety evaluation. This model is proposed to many uncertainty factors of safety evaluation of non-coal mine, according to the actual situation, carries on quantitative analysis, calculates indexes’weight, conducts grade decision by confidence identification criteria, then derives results of non-coal mine safety evaluation. This method is used to evaluate a certain six systems of non-coal mine. Compared with expert appraisal conclusion, the result shows consistency, therefore uncertainty measurement model is reasonable.

Evaluation Method of Coal Mine Safety Based on Evidence Theory

2012 ◽  
Vol 524-527 ◽  
pp. 426-430
Author(s):  
Gang Xu ◽  
Yang Ding ◽  
Tian Jun Zhang
Keyword(s):  
Coal Mine ◽  
Evaluation Method ◽  
Production Systems ◽  
Evaluation Model ◽  
Evidence Theory ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Mine Production ◽  
Set Up ◽  
Decision Making Rule

Coal mine safety assessment is an important ways for identification and elimination of danger in coal mine production systems. This paper introduce D-S evidence theory in evaluation of coal mine safety to solve the uncertainty problem of randomicity and faintness in evaluation of coal mine safety. The evaluation model of coal mine safety is set up based on evidence theory and the detailed arithmetic of evidence theory is brought forward, and according to some decision making rule the Chaohua Coal Mine has been evaluated. The results show that the model can solve the problem of uncertainty preferable and evaluation results with more accuracy and reliability.

scholarly journals Coal mine safety evaluation based on the reliability of expert decision

2009 ◽  
Vol 1 (1) ◽  
pp. 1661-1667 ◽  
Author(s):  
Yun-bing Hou ◽  
Ren-fei Pan ◽  
Ji-yan Wu ◽  
Bao-ping Wang
Keyword(s):  
Coal Mine ◽  
Safety Evaluation ◽  
Mine Safety ◽  
Coal Mine Safety

Research on safety evaluation of civil aircraft based on the grey clustering model

2018 ◽  
Vol 8 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Bentao Su ◽  
Naiming Xie
Keyword(s):  
Safety Assessment ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Safety Level ◽  
Content Type ◽  
Aircraft Manufacturing ◽  
Clustering Model ◽  
Grey Clustering ◽  
Civil Aircraft

Purpose The purpose of this paper is to construct a grey clustering model based on the nonlinear whitenization weight function and to assess the safety of civil aircraft by using a quantitative method. Design/methodology/approach According to the running stage of civil aircraft safety assessment issues, first the civil aircraft safety evaluation index system is constructed by using a qualitative method. Taking the information duplication between indicators, the grey relational analysis method is used to filter the key indicators, then the grey clustering evaluation model of nonlinear whitening right function is built to evaluate the safety of civil aircraft and the algorithm steps of the evaluation model are given. Finally, the model is validated by collecting the parameters of nine different civil aircrafts at home and abroad. Findings The results show that the safety level of different types of aircraft is different due to the different index parameters, and to some extent, explain the rationality and scientificity of the method proposed in this paper to solve the problem. Practical implications This paper gives a complete set of security assessment methods, which can be used to evaluate the security of civil aircraft in the operational phase quantitatively, scientifically and reasonably. Furthermore, it can be extended to other complex system security or stability assessment issues. Originality/value It not only provides the supplement and perfection of the safety assessment method in the theoretical system to a certain extent, but also provides a theoretical guidance to solve the problem of civil aircraft system safety assessment of civil aircraft manufacturing enterprise all over the world. At the same time, the nonlinear grey clustering evaluation model constructed in this paper is an improvement of the traditional model, which is, to some extent, the improvement of the grey clustering evaluation theory.

Comprehensive evaluation model for coal mine safety based on uncertain random variables

2014 ◽  
Vol 68 ◽  
pp. 146-152 ◽  
Author(s):  
Jiqiang Chen ◽  
Litao Ma ◽  
Chao Wang ◽  
Hong Zhang ◽  
Minghu Ha
Keyword(s):  
Coal Mine ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Random Variables ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Comprehensive Evaluation Model
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