What is it about?
In this paper, a comprehensive fault tree analysis (FTA) on the critical components of industrial robots is conducted. This analysis is integrated with the reliability block diagram (RBD) approach in order to investigate the robot system reliability. For practical implementation, a particular autonomous guided vehicle (AGV) system is first modeled. Then, FTA is adopted to model the causes of failures, enabling the probability of success to be determined. In addition, RBD is employed to simplify the complex system of the AGV for reliability evaluation purpose.
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Why is it important?
The hazard decision tree (HDT) is configured to compute the hazard of each component and the whole AGV robot system. Through this research, a promising technical approach is established, allowing decision makers to identify the critical components of AGVs along with their crucial hazard phases at the design stage.
Perspectives
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. Industrial robots are examples of these complex systems that are being increasingly used for intelligent transportation, production and distribution of materials in warehouses and automated production lines.
Professor S.T.A. Niaki
Sharif University of Technology
Read the Original
This page is a summary of: Integration of fault tree analysis, reliability block diagram and hazard decision tree for industrial robot reliability evaluation, Industrial Robot the international journal of robotics research and application, October 2017, Emerald,
DOI: 10.1108/ir-06-2017-0103.
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