Optimization of reliability centered predictive maintenance scheme for inertial navigation system

Xiuhong, Jiang; Duan, Fuhai; Tian, Huixin; Wei, Xuedong

doi:10.1016/j.ress.2015.04.003

Cited by 29 publications

(34 citation statements)

References 24 publications

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“…With the development of reliability engineering in the 1950s, the concept of preventive maintenance was advocated, and time-based maintenance (TBM) was introduced [165]. Reliability centred preventive maintenance [82] and performance centred maintenance [184] are introduced in recent times. In order to realise preventive maintenance, several different approaches have been done.…”

Section: Prognosticsmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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Section: Prognosticsmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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“…In recent years, some scholars intend to optimally plan maintenance activities for multi-component systems based on prognostic information and presents a dynamic predictive maintenance policy for multi-component systems (Bian & Gebraeel, 2014;Nguyen, Do, & Grall, 2014;Shi & Zeng, 2016). Furthermore, Jiang, Duan, Tian, and Wei (2015) and Keizer, Teunter and Veldman (2016) propose a condition-based opportunistic maintenance policy for redundancy systems separately. Jiang et al (2015) establishes a reliability analysis model of the system with the basis of the remaining useful life (RUL) of components.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, Jiang, Duan, Tian, and Wei (2015) and Keizer, Teunter and Veldman (2016) propose a condition-based opportunistic maintenance policy for redundancy systems separately. Jiang et al (2015) establishes a reliability analysis model of the system with the basis of the remaining useful life (RUL) of components. This real-time sampling can reduce unnecessary preventive maintenance costs and high fixed maintenance costs of components, thereby increasing the efficiency of the whole redundant system.…”

Section: Literature Reviewmentioning

confidence: 99%

A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems

Jiang

Wang

Cheng

2018

JIEM

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Purpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).

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“…For Yssaad et al [16] and Jiang et al [17], RCM is a technique applied to develop cost effective maintenance plans, so that the capability of the equipment is reached, restored, or maintained. The main RCM goal is to reduce the maintenance cost while focusing on the most relevant functions of the system under study.…”

Section: Rcm: Reliability-centered Maintenance According Tomentioning

confidence: 99%

A Multicriteria Decision Model for Assessment of Failure Consequences in the RCM Approach

Alencar

Almeida

2015

Mathematical Problems in Engineering

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This paper proposes a multicriteria decision model based on MAUT (Multiattribute Utility Theory) incorporated into an RCM (Reliability Centered Maintenance) approach in order to provide a better assessment of the consequences of failure, allowing a more effective maintenance planning. MAUT provides an evaluation of probability distributions on each attribute as well as trade-offs involving lotteries. The model proposed takes advantage of such evaluations and it also restructures consequence groups established in an RCM approach into new five dimensions. As a result, overall indices of utility are computed for each failure mode analyzed. With these values, the ranking of the alternatives is established. The decision-maker’s preferences are taken into account so that the final result for each failure mode incorporates subjective aspects based on the decision-maker’s perceptions and behavior.

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Optimization of reliability centered predictive maintenance scheme for inertial navigation system

Cited by 29 publications

References 24 publications

Continuous maintenance and the future – Foundations and technological challenges

Continuous maintenance and the future – Foundations and technological challenges

A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems

A Multicriteria Decision Model for Assessment of Failure Consequences in the RCM Approach

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