Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala

Pushparenu Bhattacharjee (), Syed Abou Iltaf Hussain, V. Dey and U. K. Mandal
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Pushparenu Bhattacharjee: NIT Agartala
Syed Abou Iltaf Hussain: Chandigarh University
V. Dey: NIT Agartala
U. K. Mandal: NIT Agartala

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 5, No 14, 1778-1798

Abstract: Abstract The comprehensive intention of the present study is to propose a robust mathematical model for Failure Modes and Effect Analysis (FMEA) for submersible pump components. FMEA helps discover potential failures existing within the design of a product, process, or system of components. In this paper, a novel Multi-criteria decision-making method named as Proportionate Risk Assessment Model (PRASM) is proposed to evaluate the most susceptible potential failure modes (PFMs) for the submersible pump. The PRASM method selects the most susceptible PFM by assessing the amount of risk associated with it. This approach is the first of its kind that considers the individual importance of each PFM, as well as exclusive contribution of risk attributes during FMEA evaluation. Decision makers rate the different PFMs concerning the criteria using linguistic terms which are then converted into a non-linear triangular interval-valued fuzzy number $$\left( {NTrIVFN} \right)$$ NTrIVFN . It is a special case of interval-valued fuzzy numbers with non-linear membership functions. This paper also scrutinizes the impact of non-linear membership functions in the process of decision-making. Moreover, ranking is done using the centroid method which is extended for $$NTrIVFN$$ NTrIVFN . Furthermore, the proposed approach with $$NTrIVFN$$ NTrIVFN rating is endorsed with a case study involving failures in components of submersible pumps used in a power plant.

Keywords: Failure modes and effect analysis; Risk priority number; Non-linear triangular interval-valued fuzzy number; Proportionate risk assessment model; Potential failure modes (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-023-01981-6

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