Application of Reliability Centered Maintenance on Horizontal Boring Machine - A Case Study
B. Devaraj Naik, Pradeep Kumar Soni
Abstract
B. Devaraj Naik, Pradeep Kumar Soni
Abstract
A case study has been developed by analyzing the RCM effectiveness on the balancing system of horizontal boring machine in private sector Madhya Pradesh , by using tools such as FMEA (Failure Modes and Effects Analysis), FTA (Fault Tree Analysis), MTBF (Mean time between failure) and MTTR (Mean time to repair). The failure characteristics of system components (cylinder, Direction control valve and pump) have been compared in terms of RPN, Criticality number, MTBF and MTTR. Fault tree analysis performed on the balancing system enabled to explore the root causes of component failure with help of hydraulic balancing circuit. FMEA analysis provided RPN (Risk priority number) and criticality numbers which indicated higher failure risk for Direction control valve, whereas MTBF and MTTR values suggested pump has higher failure chance. By preparing a logic diagram for each of the components, the contribution of each one for the implementation of a structured predictive maintenance planning has been determined.
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A case study has been developed by analyzing the RCM effectiveness on the balancing system of horizontal boring machine in private sector Madhya Pradesh , by using tools such as FMEA (Failure Modes and Effects Analysis), FTA (Fault Tree Analysis), MTBF (Mean time between failure) and MTTR (Mean time to repair). The failure characteristics of system components (cylinder, Direction control valve and pump) have been compared in terms of RPN, Criticality number, MTBF and MTTR. Fault tree analysis performed on the balancing system enabled to explore the root causes of component failure with help of hydraulic balancing circuit. FMEA analysis provided RPN (Risk priority number) and criticality numbers which indicated higher failure risk for Direction control valve, whereas MTBF and MTTR values suggested pump has higher failure chance. By preparing a logic diagram for each of the components, the contribution of each one for the implementation of a structured predictive maintenance planning has been determined.
Key concepts: Mean time between failures, Fault tree analysis, Reliability engineering, Failure mode and effects analysis, Failure mode, effects, and criticality analysis, Reliability (semiconductor), Root cause, Computer science