Failure analysis of jaw crusher and its components using ANOVA

In this present scenario, with the subsequent rise in the ever increasing demand of production from mines, the role of mineral processing plant has grown leaps and bounds with time. So, the need of the hour is to have sophisticated and handy equipments which can be operated with ease and can help in enhancing the productivity from mines. In this regard, Crusher is one of the primary and essential equipment which is employed for comminuting the mineral in processing plants. Hence, any kind of failure of its components will accordingly hinder the performance of the plant. Therefore, to minimize sudden failures, proper brainstorming needs to be done to improve performance and operational reliability of jaw crushers and its components. Though traditional maintenance practices exist in mineral processing plants, a methodical approach to analyse the failure rates of components is imperative for improving operational reliability of equipment by implementing effective maintenance strategies. This paper considers the methods for analysing failures of jaw crusher and its critical components in a mineral processing plant using statistical tools namely life data analysis (LDA) and analysis of variance (ANOVA). The shape and scale parameters using LDA method have been also examined. Further by implementing ANOVA, parameters such as the shape, scale and time are evaluated to examine the failure rates of crusher and its components. The data for these three parameters have been generated through Monte-Carlo Simulation method. A 2(3) factorial design is used for the failure rate analysis.