Algorithm of probabilistic assessment of fully-mechanized longwall downtime

International Scientific and Research Conference on Knowledge-based Technologies in Development and Utilization of Mineral Resources 2017

矿业工程;地球科学

Domrachev, A.N.^1 ; Rib, S.V.^1 ; Govorukhin, Yu.M.^2 ; Krivopalov, V.G.^2

Siberian State Industrial University, 42 Kirova Street, Novokuznetsk

654007, Russia^1

National Mine Rescue Center, 5 Gornospasatelnaya Street, Novokuznetsk

654028, Russia^2

关键词: Exponential distributions;    Failure recovery;    Machine operating;    Probabilistic assessments;    Probability assessments;    Reliability indicators;    Statistical datas;    Statistical evaluation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/84/1/012006/pdf
DOI  :  10.1088/1755-1315/84/1/012006

来源: IOP

【 摘 要 】

The problem of increasing the load on a long fully-mechanized longwall has several aspects, one of which is the improvement of efficiency in using available stoping equipment due to the increase in coefficient of the machine operating time of a shearer and other mining machines that form an integral part of the longwall set of equipment. The task of predicting the reliability indicators of stoping equipment is solved by the statistical evaluation of parameters of downtime exponential distribution and failure recovery. It is more difficult to solve the problems of downtime accounting in case of accidents in the face workings and, despite the statistical data on accidents in mine workings, no solution has been found to date. The authors have proposed a variant of probability assessment of workings caving using Poisson distribution and the duration of their restoration using normal distribution. The above results confirm the possibility of implementing the approach proposed by the authors.