An Optimal Preventive Maintenance Model for a Structure

2012 ◽  
Vol 496 ◽  
pp. 484-487
Author(s):  
Xiao Li Zou
Keyword(s):  
Fatigue Crack ◽  
Preventive Maintenance ◽  
Minimum Cost ◽  
Crack Size ◽  
Maintenance Scheduling ◽  
Optimal Time ◽  
Cost Rate ◽  
Scheduling Model ◽  
Maintenance Model ◽  
Rate Criterion

An optimal preventive maintenance scheduling model for deteriorating structures is presented. The random initial damage and the cumulative damages are quantitatively measured with the statistical distribution of a dominant fatigue crack size in the structure. The preventive maintenance for the structure in service is assumed to be possible only at a series of discrete times. By taking into account the costs of structure failure and preventive maintenance, a minimum cost rate criterion is established to determinate the optimal time for preventive maintenance. Finally, an illustrative example is given

scholarly journals Predictive Group Maintenance Model for Networks of Bridges

2020 ◽  
Vol 2674 (4) ◽  
pp. 373-383 ◽  
Author(s):  
Georgios M. Hadjidemetriou ◽  
Xiang Xie ◽  
Ajith K. Parlikad
Keyword(s):  
Predictive Model ◽  
Recent Progress ◽  
Cost Model ◽  
Practical Significance ◽  
Optimal Time ◽  
Setup Cost ◽  
Maintenance Costs ◽  
Deterioration Model ◽  
Scheduling Model ◽  
Maintenance Model

Recent progress in the monitoring and prediction of the condition of infrastructure using sensing technologies has motivated researchers and infrastructure owners to explore the benefits of asset predictive maintenance, as an alternative to reactive maintenance. However, the application of predictive group maintenance for multi-system multi-component networks (MSMCN) has not received much attention in the literature or in practice. The paper presents an approach that prioritizes the maintenance of MSMCN of bridges, using a deterioration model of components with uncertainty, a lifecycle cost model, a predictive model for the optimal time for maintenance based on the latest inspection, a group maintenance model to reduce setup cost, and a scheduling model considering budget constraints. This model has been applied to a network of 15 bridges constituted by multiple heterogeneous components, and, compared with the Structures Investment Toolkit, it showed potential for a substantial decrease in maintenance costs, thus highlighting the practical significance of the presented approach.

A hybrid preventive maintenance model for systems with partially observable degradation

2020 ◽  
Vol 31 (3) ◽  
pp. 345-365 ◽  
Author(s):  
Maxim Finkelstein ◽  
Ji Hwan Cha ◽  
Gregory Levitin
Keyword(s):  
Preventive Maintenance ◽  
Replacement Policy ◽  
Hybrid Strategy ◽  
Cost Rate ◽  
Shot Noise Process ◽  
Shock Process ◽  
Long Run ◽  
Age Replacement ◽  
Partially Observable ◽  
Maintenance Model

Abstract A new model of hybrid preventive maintenance of systems with partially observable degradation is developed. This model combines condition-based maintenance with age replacement maintenance in the proposed, specific way. A system, subject to a shock process, is replaced on failure or at some time ${T}_S$ if the number of shocks experienced by this time is greater than or equal to m or at time $T>{T}_S$ otherwise, whichever occurs first. Each shock increases the failure rate of the system at the random time of its occurrence, thus forming a corresponding shot-noise process. The real deterioration of the system is partially observed via observation of the shock process at time ${T}_S$. The corresponding optimization problem is solved and a detailed numerical example demonstrates that the long-run cost rate for the proposed optimal hybrid strategy is smaller than that for the standard optimal age replacement policy.

A modularized framework for predictive maintenance scheduling

2011 ◽  
Vol 226 (4) ◽  
pp. 380-391 ◽  
Author(s):  
Ming-Yi You ◽  
Guang Meng
Keyword(s):  
Preventive Maintenance ◽  
Industrial Applications ◽  
Maintenance Scheduling ◽  
Predictive Maintenance ◽  
Scheduling Model ◽  
Component Systems ◽  
Maintenance Policies ◽  
The Individual ◽  
Maintenance Schedules ◽  
Dynamic Updating

This paper presents a modularized, easy-to-implement framework for predictive maintenance scheduling. With a modularization treatment of a maintenance scheduling model, a predictive maintenance scheduling model can be established by integrating components’ real-time, sensory-updated prognostics information with a classical preventive maintenance/condition-based maintenance scheduling model. With the framework, a predictive maintenance scheduling model for multi-component systems is established to illustrate the framework’s use; such a predictive maintenance scheduling model for multi-component systems has not been reported previously in the literature. A numerical example is provided to investigate the individual-orientation and dynamic updating characteristics of the optimal preventive maintenance schedules of the established predictive maintenance scheduling model and to evaluate the performance of these preventive maintenance schedules. It is hoped that the presented framework will facilitate the implementation of predictive maintenance policies in various industrial applications.

Optimum Consecutive Preventive Maintenance Scheduling Model Considering Reliability

2019 ◽  
Vol 24 (4) ◽  
pp. 490-495
Author(s):  
Gehui Liu ◽  
Xiangyu Long ◽  
Shuo Tong ◽  
Rui Zhang ◽  
Shaokuan Chen
Keyword(s):  
Preventive Maintenance ◽  
Maintenance Scheduling ◽  
Scheduling Model

scholarly journals A Preventive Maintenance Scheduling Model of the Cluster Tool

IE interfaces ◽  
2012 ◽  
Vol 25 (1) ◽  
pp. 127-133 ◽  
Author(s):  
Hyun Lee ◽  
You-Jin Park ◽  
Sun Hur
Keyword(s):  
Preventive Maintenance ◽  
Maintenance Scheduling ◽  
Scheduling Model ◽  
Cluster Tool

Genetic Algorithm Based Methodology for Optimal Maintenance Scheduling of Multi-Unit Systems

2010 ◽  
Vol 450 ◽  
pp. 539-543 ◽  
Author(s):  
Ji Hong Yan ◽  
Yu Yan Wang ◽  
Xu Zhang
Keyword(s):  
Genetic Algorithm ◽  
Weibull Distribution ◽  
Dynamic Characteristics ◽  
Maintenance Scheduling ◽  
Optimal Scheduling ◽  
Maintenance Cost ◽  
Cost Rate ◽  
Unit System ◽  
Scheduling Model ◽  
Optimal Maintenance

This paper presents a novel methodology for optimal maintenance scheduling of multi-unit systems under predictive maintenance (PdM) environment. A maintenance scheduling model for multi-unit system is established considering performance degradation of units, dynamic characteristics of the system, economic dependence and structural dependence between units, and constraints of maintenance resources. The deterioration of units is modeled by Weibull distribution. Three maintenance actions, as minor repair, imperfect overhaul and replacement are considered to arrange the PdM schedule of a system. The genetic algorithm based methodology is employed to obtain the near optimal scheduling which results in a relatively minimal maintenance cost rate. The scheduling results demonstrate that the proposed methodology is feasible and effective.

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