Condition based maintenance optimization considering multiple objectives

Abstract

In condition based maintenance (CBM) optimization, the main optimization objectives include maximizing reliability and minimizing maintenance costs, which are often times conflicting to each other. In this work, we develop a physical programming based approach to deal with the multi-objective condition based maintenance optimization problem. Physical programming presents two major advantages: (1) it is an efficient approach to capture the decision makers' preferences on the objectives by eliminating the iterative process of adjusting the weights of the objectives, and (2) it is easy to use in that decision makers just need to specify physically meaningful boundaries for the objectives. The maintenance cost and reliability objectives are calculated based on proportional hazards model and a control limit CBM replacement policy. With the proposed approach, the decision maker can systematically and efficiently make good tradeoff between the cost objective and reliability objective. An example is used to illustrate the proposed approach.

Condition-based maintenance considering shock and degradation processes

“…A comprehensive study of methods based on statistical data to estimate the remaining life of conditions-based maintenance system was conducted by Si et al (2011). Tian et al (2012) studied the condition-based maintenance for wind production systems. Their idea was to use the impact of different components of a wind turbine simultaneously to estimate the remaining life, so any component was examined separately.…”

Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system

“…It is driven by information about the performance of the turbine provided by the monitoring system. The decision of performing a CBM can be multi or monoobjective [51]. This strategy is generally used in conjunction with a fault tree to diagnose root causes.…”

Improved Acquisition for System Sustainment: Multiobjective Tradeoff Analysis for Condition-Based Decision-Making

“…Only non-negativity constraints are considered in Equation 12, though other possibilities include cost and/or reliability constraints (Tian et al, 2012). The states-of-the system are ultimately a function of t; therefore, the decision variable is the time at which maintenance should be performed.…”

“…Constraints are often imposed within single-objective optimization to account for multiple criteria, which presents a disadvantage because of an inability to assess tradeoffs between objectives in order to provide a solution that best represents the preference of the decision-maker (Tian, Lin, & Wu, 2012). In maintenance optimization, common optimality criterion include reliability, availability, and maintenance cost (Sharma & Yadava, 2011).…”