Integrating Reliability, Availability, and Maintainability Issues for Analyzing Failures in Fuel Injection Pump

The main aim of this chapter is to enable system reliability analysts to provide a correct and timely diagnosis of reliability, availability, and maintenance requirements of their systems. Embarking upon the fundamental strength of failure analysis methods such as failure mode and effects analysis (FMEA), root cause analysis (RCA), and reliability block diagrams (RBD), the chapter provides Reliability, Availability, and Maintainability (RAM) analysis of pump failures. The pump system has been decomposed into a number of subsystems based on the components/parts. Failure and repair statistics of subsystems components have been used to model the reliability and maintainability of whole system. For ascertaining the maintenance priorities, FMEA has been used to spot out various possible failure modes, find out their effect on the operation of the pump, and to discover actions to alleviate the failures. The results of RAM analysis not only helps to identify the reliability and availability issues which may limit the production throughput but also helps to propose improvement in the design or selection of effective maintenance strategies.

[1]  Dinesh Kumar,et al.  Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling , 2005 .

[2]  Pooja Sharma,et al.  Qualitative and quantitative approaches to analyse reliability of a mechatronic system: a case , 2015 .

[3]  Ulrich Hauptmanns Semi-quantitative fault tree analysis for process plant safety using frequency and probability ranges , 2004 .

[4]  Aishwarya Mishra,et al.  Reliability Analysis of Dragline Using Equivalent Aging Model , 2020 .

[5]  C. W. de Silva,et al.  A design paradigm for mechatronic systems , 2013 .

[6]  M. Srinivasa Rao,et al.  Reliability analysis of repairable systems using system dynamics modeling and simulation , 2014 .

[7]  Panagiotis H. Tsarouhas,et al.  Reliability analysis of an automated pizza production line , 2005 .

[8]  Yarlin Kuo,et al.  Integrated production scheduling and preventive maintenance planning for a single machine under a cumulative damage failure process , 2007 .

[9]  Girish Kumar,et al.  Modelling and simulation of repairable mechanical systems reliability and availability , 2019, International Journal of System Assurance Engineering and Management.

[10]  Rajiv Kumar Sharma,et al.  Performance modeling in critical engineering systems using RAM analysis , 2008, Reliab. Eng. Syst. Saf..

[11]  Ali Azadeh,et al.  A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry , 2010, Expert Syst. Appl..

[12]  Zengliang Gao,et al.  Reliability analysis of integral hot deep drawing and cold flow forming process for large-diameter seamless steel gas cylinders , 2018 .

[13]  Pooja Sharma,et al.  COMPUTING RAM INDICES FOR RELIABLE OPERATION OF PRODUCTION SYSTEMS , 2012 .