A coloured Petri net framework for modelling aircraft fleet maintenance

Sheng, Jingyu; Prescott, Darren

doi:10.1016/j.ress.2019.04.004

Cited by 47 publications

(19 citation statements)

References 19 publications

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“…without loop events); and (iii) the final marking corresponding to the feared state must be minimal. Sheng & Prescott [43] mention that a variety of CPN (Coloured Petri Nets) models are established to represent fleet maintenance activities and maintenance management, as well as the factors that have a significant impact on fleet maintenance including fleet operation, aircraft failure logic and component failure processes. Baidada et al [44] mention that this approach consists of generating and collecting the corresponding traces of different cases, filtering and analysing them using Colored Petri Nets to extract a high-level sequence diagram finally.…”

Section: Petri Netsmentioning

confidence: 99%

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Pinto

Farinha²,

Singh³

2021

Wseas Transactions on Systems and Control

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The energy power supply infrastructure of a hospital, to function correctly, needs to be well maintained to ensure its reliability and, by consequence, the maximum integrated availability. In this paper, the authors propose the use of Petri Nets to help the improvement of the electric power system reliability, having as a case study a big European Hospital. The purpose of the research is to identify and analyse the potential failures of the system and to suggest solutions to improve the operations and maintenance to maximise the availability and reliability of those assets through possible and objective answers. It was necessary to develop a diagnosis and planning methodology to assess the reliability of several components of the energy power supply system. It is dynamic modelling based on a block diagram of the system and transposed to representation by Petri Nets. The analysis and the simulation of the discrete events of the system, as well as the visualisation of the process functioning and the communications inside, was made. Additionally, they were referred to other approaches, like the Fuzzy Petri Nets and Stochastic Petri Nets, as well as a future balance about its application in a situation like the analysed in this paper

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Section: Petri Netsmentioning

confidence: 99%

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Pinto

Farinha²,

Singh³

2021

Wseas Transactions on Systems and Control

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“…Simulated annealing algorithm 138 Artificial neural network 139 Greedy algorithm [140][141][142] Particle swarm algorithm 143 Antlion algorithm 144 colored Petri nets 145,146 multi-objective evolutionary algorithm 147 Other heuristic algorithms 148,149 Further research of civil aircraft spare parts management…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Civil Aircraft Spare Parts Prediction and Configuration Management Techniques: Review and Prospect

Feng

Chen

et al. 2021

Advances in Mechanical Engineering

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Spare parts are treated as the basis to guarantee the safe and economic operation of civil aircraft, its scientific prediction and reasonable configuration play an important role in perfecting integrated logistics support (ILS) and achieving win-win situation of stakeholders (e.g. manufacturers, operators, maintenance providers). This paper studies the existing spare parts prediction and configuration methods of civil aircraft, and discusses future development trend of spare parts from the perspective of prediction and configuration, respectively. The current development status of civil aircraft spare parts prediction techniques are firstly introduced, according to demand characteristics of spare parts; the present research status of civil aircraft spare parts configuration methods are then elaborated, based on the traditional methods and machine learning methods; the development trend of civil aircraft spare parts prediction and configuration methods is finally analyzed, combined with the advantages and disadvantages of the existing methods of civil aircraft spare parts management methods. The efforts of this work provide a reference for the comprehensive management of civil aircraft spare parts and improve the perfection degree for the ILS of civil aircraft.

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“…In general, aircraft maintenance has multiple objectives, i.e., keeping the aircraft systems operational while minimizing maintenance costs and maximizing the quality of service. We introduce the following objectives [4,5,8,9].  𝑁 Inc -The number of degradation incidents.…”

Section: Multiple Objectives Of Aircraft Maintenancementioning

confidence: 99%

“…One main objective of CBM for aircraft is the reduction of maintenance costs [5,6]. Additionally, aircraft maintenance aims to comply with aircraft operational regulations [3,7], to limit the need for unscheduled maintenance tasks [8], to reduce aircraft delays due to maintenance [9], and to utilize the aircraft as much as possible [10]. Given these multiple objectives, it is of interest to understand how they are impacted by maintenance strategies, how they are related to each other, and what are the trade-offs between them.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Analysis of Condition-based Aircraft Maintenance Strategies using Discrete Event Simulation

Lee¹,

Mitici²

2021

2021 Annual Reliability and Maintainability Symposium (RAMS)

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As aircraft maintenance is transitioning towards datadriven condition-based maintenance (CBM), its cost and performance objectives need to be re-evaluated: how are these objectives related under various CBM strategies?; which objectives are conflicting?; what are the trade-offs between the conflicting objectives?; what is the impact of this transition on aircraft maintenance? We propose a methodology based on discrete-event simulation to analyze CBM of aircraft from the perspective of multiple objectives. The simulation considers an aircraft operations model, systems of multiple, redundant aircraft components, stochastic degradation models for components, and specific CBM strategies. In particular, we analyze two CBM strategies for component replacement, which are based on sensor monitoring and remaining-useful-life prognostics. As objectives for these strategies, we consider the minimization of the number of component replacements, the number of unscheduled replacements, the number of degradation incidents, the delay caused by maintenance, and the mean number of flight cycles to replacements (MCTR). We identify the main conflicting objectives and generate Pareto fronts. We show non-trivial trade-offs between the performance-oriented objectives (the number of degradation incidents and the delay due to maintenance) and cost-oriented objectives (MCTR). In fact, the CBM strategy based on remaining-useful-life prognostics dominates the other strategies in the knee region of the Pareto fronts. This implies that the transition towards data-driven CBM strategies can reduce the cost while maintaining the performance. Moreover, the proposed methodology is readily applicable to analyze general aircraft systems and other maintenance strategies.

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A coloured Petri net framework for modelling aircraft fleet maintenance

Cited by 47 publications

References 19 publications

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

Civil Aircraft Spare Parts Prediction and Configuration Management Techniques: Review and Prospect

Multi-objective Analysis of Condition-based Aircraft Maintenance Strategies using Discrete Event Simulation

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