A new approach to predictive modeling of dragline equipment

This paper is an attempt to generalizing analytical data on vibration parameters of powered mechanical equipment of draglines with a view to solving the problem connected with development of unified diagnostic criteria for short-term degradation modeling aimed at prediction of technical degrading of test objects. The goal of this study is to colligate experimental data on parameters of vibration generated in operation of dragline equipment with intent to classify signs of the equipment defects into reference groups for convenient formalization. This research used the expanded range of diagnostic methodologies, including spectral analysis in broadened frequency and dynamic ranges, analysis of runout characteristic, excess and analysis of spectrum envelope. The research findings prove efficiency of the proposed methodology for normalization of mechanical vibrations and the algorithm for creation of unified diagnostic criteria usable as basic elements in the system of mining machinery maintenance by the actual technical condition.