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英文原文 Utilisation of Data Mining in Mining Industry: Improvement of the Shearer Loader Productivity in Underground Mines I. INTRODUCTION The longwall system is the heart of the coal mining process. It is considered to have a simple layout but requires stringent adherence to some basic features in the development of the panel to make it work. Similarly, in order to produce the required business production volume, all critical equipments must operate to their required level of service according to the system’s established operating mission profile. The integrated nature of production system demands that all units or sub-systems should function with acceptable level of reliability to achieve planned production. The highly productive underground longwall mining equipment is very expensive and it requires proper assessment of serviceability of each component for maintenance management. Shearer is used for getting coal in a longwall face and its breakdown is catastrophic in financial terms. Therefore, its availability is a must for the economic sustainability of the project. If the shearer is not working efficiently, this may reduce the efficiency of the entire production system [1]. In the case of the highly mechanised shearer loader, an annual coal production target of four million tons was established to achieve the annual revenue target. To achieve this level of productivity, the shearer is expected to operate at 40 weeks-operating year at 106 hours per week and allowing for only two longwall moves in a year. This tight target seems to be unrealistic considering the current increasing failure rate of the overall system. This unreliable condition only holds true in the absence of correct and auditable strategic maintenance and reliability policy, management systems and procedures in place. In this industrial case a substantial amount of time is being put together to systematically extract the appropriate data and analyse a few factors. The factors include the cause of f