Review of Trend Tests for Detection of Wear Out Period for Mining Machineries

Machinery systems are extensively utilized in all mining stages from beginning to end of ore production. They are capital-intensive systems and substantial amount of money is spent annually to keep their functionalities in desired levels. Therefore, implementation of effective maintenance strategy has a vital importance to prevent unexpected breakdowns due to failures and to minimize operational cost. These maintenance strategies can be constituted effectively regarding functional and structural dependencies between system components and forecasting their expected lifetimes and deterioration rates over time. However, forecasting of expected failures can fail due to aging trend in system components. This paper summarizes qualitative and quantitative trend tests in detection of wear-out period where system starts to age. In the paper, two separate graphical methods are investigated in qualitative analysis of data trend behavior where hypothesis testing techniques such as Crow/AMSAA, Laplace, Lewis-Robinson, and Reversal Arrangement and indirect trend test using imperfect maintenance concept are examined as quantitative tests. Implementation of all test are supported via their theoretical backgrounds and numerical examples.


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Citation Formats
O. Gölbaşı and N. Demirel, “Review of Trend Tests for Detection of Wear Out Period for Mining Machineries,” presented at the 24th INTERNATIONAL MINING CONGRESS OF TURKEY, Antalya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: