Selection of condition monitoring techniques using discrete probability distributions: A case study

Abstract

The setting up of a condition monitoring program is considered a strategic decision owing to its influence on cost, safety, quality, and availability in an industrial plant. However, no previous structured analysis of the selection of condition monitoring techniques and their characteristics has been made, so further analysis is needed. This paper proposes a model for the selection of the most suitable condition monitoring technique to be set up in a subsidiary of a petrochemical plant. For this purpose, different criteria, indicators, and utility functions are defined; nine alternatives are proposed depending on the technological level of the condition monitoring program. The model applies the analytic hierarchy process to obtain a ranking of alternatives. Owing to the special characteristics of the decision, discrete probability distributions are defined. The final ranking is computed by applying the Monte Carlo method considering 2000 simulation trials. Finally, a sensitivity analysis is applied.

Methodology for Selection of Condition Monitoring Techniques for Rotating Machinery

“…There is a need for a common methodology that incorporates cost as well as other factors while selecting CM techniques. (Buckley, 1987;Carnero, 2009;Liu et al, 2016;Mechefske & Wang, 2001;Moore & Baker, 1969;Parsaei & Wilhelm, 1989;Petkov et al, 2020;Utne et al, 2012;Wang & Wang, 2013) Toliyat, 2004) This paper proposes a methodology for more effective implementation of CM techniques for industrial applications. A complete solution considering motor as well as load side fault situations is suggested.…”

Fuzzy Multicriteria Model for Selection of Vibration Technology

“…Each company is characterized using four scenario variables: typology of critical machinery in the industrial plant, technological level of the productive process in the industrial plant, number of critical machines in the industrial plant, and future behaviour of the company. Carnero [39] also chooses the condition monitoring technique to be applied, but using a multicriteria utility function and analytic hierarchy process. Discrete probability distributions are obtained for each alternative and a Monte Carlo simulation is used to calculate the final utility of the alternatives.…”