Title: Enabling comprehensive failure analysis of complex physical system using cognitive map-based approach

Authors: Shah Limon; Om Prakash Yadav; Bimal Nepal; Leslie Monplaisir

Addresses: Industrial and Manufacturing Engineering Department, North Dakota State University, Fargo ND 58108, USA ' Industrial and Manufacturing Engineering Department, North Dakota State University, Fargo ND 58108, USA ' Industrial Distribution Dwight Look College of Engineering, Texas A&M University, College Station, Texas, USA ' Industrial and Systems Engineering Department, Wayne State University, Detroit, MI, USA

Abstract: The rapid evolution in technology is leading to complex engineering systems confounding the problems of failure analysis processes. Earlier efforts have concentrated on failure analysis of components but have proven insufficient for analysing the complex physical systems. In this paper, a cognitive map-based approach suggested by Augustine et al. (2012) for system interaction failure analysis is further improved to develop populated network structure considering structural variation. The numerical values to causal arcs are assigned considering qualitative linguistic variables to represent causal relationship between two nodes. The structural variability in cognitive maps due to input from experts or sources is addressed by effectively combining the cognitive map diagrams (networks) and related information received from several sources into single network diagram. A combined adjacency matrix is developed considering credibility weight assigned to each experts. The proposed approach is capable of capturing system interaction failures as well as component failures, which is useful at the early stage of design. A relatively complex physical engineering system of fuel injection is presented as an example to demonstrate the effectiveness of the proposed approach.

Keywords: cognitive maps; complex physical systems; failure analysis; system interaction failures; complex engineering systems; fuel injection; complex systems; complexity.

DOI: 10.1504/IJQET.2015.071652

International Journal of Quality Engineering and Technology, 2015 Vol.5 No.2, pp.114 - 144

Available online: 09 Sep 2015 *

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