Title: Statistical testing of availability for mining technological systems
Authors: Jaromir Antoch - Charles University (Czech Republic) [presenting]
Abstract: Conducting high-level reliability testing of any complicated technological system under real operational conditions requires a significant amount of resources as time, materials, human skills, etc. One of the possible ways to increase effectiveness is shortened (accelerated) testing. However, this shortening of reliability testing should not compromise the precision of the estimated reliability parameters. We develop a statistical model showing that even environmentally sustainable mining can be profitable. Our basic technique is distribution theory applied to productivity criteria. Two generic working scenarios have been obtained. We illustrate the model on two currently active mining sites, the Chuquicamata copper mine in Chile and the opencast coal mine Libous in the Czech Republic. We show that under very realistic conditions for both countries, the Czech Republic and Chile mining companies can afford to stop mining activities for high thresholds of air pollutants without a substantial loss of productivity.