Failure analysis of pump piping system using DEMATEL SVN methodology

Autor: R. Sundareswaran, S. Vijayan, Sneha S, Srinath Venkatesh, Vishnu Prasad P R, Viswapriya G, Lakshmi Narayan Mishra, Said Broumi
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Neutrosophic Sets and Systems, Vol 53, Pp 202-218 (2023)
Druh dokumentu: article
ISSN: 2331-6055
2331-608X
DOI: 10.5281/zenodo.7536005
Popis: Piping systems tend to malfunction when a set parameter goes off the mark. The parameters which directly affect the structure and working of a pump piping system are known as critical factors. The processes influenced by these factors and consequently the underlying cause of failure have been thoroughly investigated through research. The interrelationship between them, however, remains a mystery. The ability of the plant supervisor or worker to combine their vast theoretical knowledge with actual data will be enhanced by exposing these cause-effect correlations among the problems commonly encountered in pump piping systems. The SVN DEMATEL (Decision-Making Trial-and Evaluation Laboratory) approach is used in this study to determine the predominant causes of pump piping system failures. By considering a group of expert perspectives to create a cause-and-effect relationship diagram, the DEMATEL approach allows one to determine and assess the most significant element. SVN sets in DEMATEL, likewise, eliminate uncertainty when making conclusions concerning failure relationships from the judgements provided by experts [1]. The focus of the failure analysis was divided into six groups: selection of pump, design of pump, construction, operation/maintenance, piping errors and commissioning of the system. A total of 26 factors were identified and were assigned to a relevant group. Each factor was further categorized into four levels based on the degree of influence using the methodology presented in this study. It was found that “Temperature” has the highest degree of influence over the other criteria whereas criteria like “Pressure” and “Power Supply” tend to be influenced by other factors. The proposed SVN-DEMATEL method would be suitable for qualitative analysis of different industrial systems.
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