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dc.contributor.authorHarish, Kumar, N.S.
dc.contributor.authorChoudhary, R.P.
dc.contributor.authorMurthy, C.S.N.
dc.date.accessioned2020-03-31T08:42:08Z-
dc.date.available2020-03-31T08:42:08Z-
dc.date.issued2018
dc.identifier.citationMathematical Modelling of Engineering Problems, 2018, Vol.5, 4, pp.373-378en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/12783-
dc.description.abstractShovel-Dumper system is utilized as a loading and transporting machines for intermediate mechanization in surface mining. For survival in the exceptional competition in the global business environment in recent years, it is basic that the Shovel - Dumper system should be reliable and maintained adequately and effectively. This paper seeks to study the reliability, availability, and preventive maintenance of one shovel and four dumpers in a surface coal mine with failure and repair data by Isograph Reliability Workbench (RWB) in the case of a non-parametric statistical method such as K-S test. The constraints and reasons for machine unavailability are outlined. The reliability and availability of the shovel-dumper system are evaluated and also evaluated the maintenance time interval to improve the 80% of reliability for each system. The reliability, availability and preventive maintenance have been validated with the artificial neural network (ANN). ANN model is then connected to a reliability method, K-S test to predict the failure probability of shovel and dumper. 2018 Mathematical Modelling of Engineering Problems.en_US
dc.titleReliability-based preventive maintainability analysis of shovel-dumper system in surface coal mine using ANN and isograph reliability workbenchen_US
dc.typeArticleen_US
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