Authors: Saeed Behbahani, Clarence W. De Silva
Addresses: Department of Mechanical Engineering, The University of British Columbia, 6250 Applied Science Lane, Vancouver, BC V6T 1Z4, Canada. ' Department of Mechanical Engineering, The University of British Columbia, 6250 Applied Science Lane, Vancouver, BC V6T 1Z4, Canada
Abstract: Reliability is an important criterion in designing a new machine, and in making decisions about the operation, maintenance, and repair policies of existing machines. A systematic framework for realistic reliability assessment of repairable mixed system (multidomain) machinery is presented in this paper, with the objective of providing information for proper decision making. The method presented here is based on intuitive severity assessment of failure modes using Choquet fuzzy integral. A Petri Net simulation technique is employed to mimic the dynamic architecture of the system and take into account the dynamic interactions between the system components. The performance of the proposed methodology is validated by applying it to an industrial fish cutting machine – the Iron Butcher, which falls into the class of multidomain systems. Methods to improve the reliability of a mixed system are represented and the performance of the proposed methodology is validated by demonstrating its ability to reflect axiomatic expectations.
Keywords: mechatronics; reliability analysis; failure detection; Petri nets; fuzzy integrals; machine design; decision making; multidomain machinery; simulation; modelling; fuzzy logic; fish cutting machines.
International Journal of Manufacturing Research, 2007 Vol.2 No.1, pp.51 - 73
Published online: 27 Apr 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article