On power system operation status monitoring, operating performance analysis and assessment is to ensure the safe operation of its important components. This paper presents a new type of data mining based on the fault mode analysis and the fast diagnostic reasoning algorithm. Fault appearance to be collected and cleaned up in a fault information dimension table, the relationship rule dimension t...

In this paper, effective data mining methods are adopted for the tunnel management information system to deal with safety issue data and work out the relationship among these safety issues in order to estimate risk, establish intelligent decision support, provide basis of governance for railway maintenance departments and remedy the defects of the existed management information systems. In view...

Applications such as those for systems management and intrusion detection employ an automated real-time operation system in which sensor data are collected and processed in real time. Although such a system effectively reduces the need for operation staff, it requires constructing and maintaining correlation rules. Currently, rule construction requires experts to identify problem patterns, a pr...

Surface coal mines prior to 1950 in the USA were generally left without any reclamation. As government regulations advanced since then, mine operators were required to backfill the area and plant grasses or trees. After the federal Surface Mining Control and Reclamation Act (SMCRA) was passed in 1977 in the USA, mine operators were required to conduct pre-mining analyses of the site and to desi...

Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...

The mining of closed sequential patterns has attracted researchers for its capability of using compact results to preserving the same expressive power as traditional mining. Many studies have shown that constraints are essential for applications of sequential patterns. However, time constraints have not been incorporated into closed sequence mining yet. Therefore, we propose an algorithm called...

Information explosion in World Wide Web has increased the interest in Web usage mining techniques in both commercial and academic areas. Study of interested web users; provide valuable information for web designers to quickly respond to their individual needs and for the efficient organization of the website. Among the several approaches like Association rule mining, classification, clustering,...

Air and soil pollution from mining activities has been considered as a critical issue to the health of living organisms. However, few efforts have been made in distinguishing the main pathway of organism genetic damage by heavy metals related to mining activities. Therefore, we investigated the genetic damage of Leymus chinensis leaf cells, the air particulate matter (PM) contents, and concentr...

Gearless mill drives are a well established solution for grinding applications in the minerals and mining industries. The paper describes the functionality and technical features of such drive systems as well as their advantages compared to other drive solutions. Due to the variable speed operation the grinding process can be optimized for ores with varying grinding properties. This leads to si...