Availability of a system is a crucial factor for planning and optimization. The concept is more challenging for modern systems such as robots and autonomous systems consisting of a complex configuration of components. As complex systems have become global and essential in today’s society, their reliable design and the determination of their availability have turned into a very important task for managers and engineers.
Reliability Models of Complex Systems for Robots and Automationoffers different models and approaches for reliability evaluation and optimization of a complex autonomous system. Comprehensive fault tree analysis on the critical components of industrial robots and its integration with the reliability block diagram approach is designed in order to investigate the robot system reliability. The cost and hazard decision tree are integrated for the first time in an approach to evaluate the reliability of a complex system.
Today’s competitive world with increasing customer demands for highly reliable products makes reliability engineering a more challenging task. Reliability analysis is one of the main tools to ensure agreed delivery deadlines which in turn maintains certainty in real tangible factors such as customer goodwill and company reputation.
Introduction and Background. Fault Tree Analysis and Reliability Block Diagram. Cost and Hazard Decision Tree Models. Binary State and Bernoulli Trials Reliability Model. Binary Decision Diagram Reliability Model. Decomposition and Minimal Path and Cuts Models. Bayesian Network Reliability Model. Modified Branching Process Reliability Model. Standby Renewal Process Reliability Model. Reliability and Inspection Model. References and Further Reading.