Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-10-25
2024-09-24
Abstract—Reliability is one of the important parameters, which contributes to customer satisfaction. So every aspect of design and manufacturing, quality engineering and control directly influences the reliability of a product. As the importance of reliability is growing in the market scenario, and as the cost of maintaining the equipment is increasing, it would necessitate every organization to focus its interest to increase the reliability of their equipment as well as their products. Before going for the reliability improving acts, it is necessary and good to measure the current performance. As there are many more difficulties in analyzing complex systems, which have repairable components, focus of the project work is concentrated on it. In the present work attempts is made to collecting data, identifying the data type and evaluate the reliability of some systems. We have used for power-law for evaluate the reliability of some systems. The effort is put evaluate complex system reliability from the component reliabilities that have been evaluated by analyzing field failure data. The analysis of reliability measurement is mainly focused on repairable units, for which different maintenance polices are available. By using ‘Bottom-Up’ approach it has been tried to evaluate the system reliability of complex repairable systems with help of component reliabilities. For all these problems and difficulties, a program in C-language is written. Index Terms—Reliability evaluaton, Bottom-up approach, Failure data
Cite: P Venkataramana, G Gurumahesh, and V Ajay, "Reliability Evaluation of Repairable Complex Systems an Analyzing Failure Data," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 81-92, January 2013.