An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets

Lee, Juseong; Mitici, Mihaela

doi:10.1016/j.ress.2020.107052

Cited by 65 publications

(53 citation statements)

References 23 publications

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“…The application of Petri nets in most previous studies focus on industrial systems and/or mechanical components (Lee and Mitici, 2020). Their use for degradation, inspection and maintenance processes assessment of civil engineering infrastructures is a recent research field.…”

Section: Objectives and Main Scientific Contributionsmentioning

confidence: 99%

Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures

Chahrour

Nasr

Tacnet

et al. 2021

Reliability Engineering & System Safety

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Mountain territories are remarkably exposed to natural phenomena such as torrential floods, arising due to climate and geophysical environmental changes. Protection structures deteriorate with time due to the harsh phenomena they are subjected to since their construction. If not regularly maintained, the level of protection offered by these structures will be reduced. The methodology presented in this paper integrates physics-based and dependability models for monitoring the state evolution of protection structures and improving maintenance decision-making processes. The modeling approach proposed is based on 1) physics-based modeling for identifying the probabilistic laws of the transition times between the defined states of the structure depending on its behavior over time and 2) a decision aiding method based on Petri nets, which helps in choosing the best maintenance strategy while considering budgetary constraints. This approach is applied on a check dam located within a series of check dams in the Manival torrent in Saint-Ismier, France.

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Section: Objectives and Main Scientific Contributionsmentioning

confidence: 99%

Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures

Chahrour

Nasr

Tacnet

et al. 2021

Reliability Engineering & System Safety

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“…Xie et al [45] mention that a novel energy consumption model based on Generalised Stochastic Petri Nets is proposed, and an analysis method is also presented; furthermore, the model was successfully applied to a turning machine tool. Lee & Mitici [46] propose a formal framework to assess the safety and efficiency of maintenance strategies using agent-based modelling, stochastically and dynamically Coloured Petri Nets, and Monte Carlo simulation; the authors model an end-to-end aircraft maintenance process, considering several maintenance stakeholders. Kabir & Papadopoulos [47] mention that Petri Nets are another formal graphical and mathematical tool capable of modelling and analysing dynamic behaviour of systems.…”

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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“…In the past, several RUL prognostic methodologies have been developed [2], mainly using data-driven and model-based approaches. Examples of data-driven methodologies for RUL prediction are neural networks [3,4] and neural fuzzy networks and recurrent neural networks [5,6]. Model-based RUL prediction methodologies have employed Wiener processes [7,8], Kalman filters [9], particle filtering [10], physics-based models [11,12], and Markov models [13].…”

Section: Introductionmentioning

confidence: 99%

“…In [17], a deep learning approach was combined with a genetic algorithm to predict the RUL of aircraft engines operating under multiple conditions and failing under several fault modes. Machine-learning approaches, however, are often seen by aircraft maintenance practitioners as "black-boxes" [6]. This is an obstacle for the implementation of purely datadriven prognostic methods in practice [18].…”

Section: Introductionmentioning

confidence: 99%

Online Model-Based Remaining-Useful-Life Prognostics for Aircraft Cooling Units Using Time-Warping Degradation Clustering

Mitici

Pater

2021

Aerospace

Self Cite

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Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from clusters of components with similar degradation trends. Time-series degradation measurements are first clustered using dynamic time-warping. For each cluster, a degradation model and a corresponding failure threshold are proposed. These cluster-specific degradation models, together with a particle filtering algorithm, are further used to obtain online remaining-useful-life prognostics. As a case study, we consider the operational data of several cooling units originating from a fleet of aircraft. The cooling units are clustered based on their degradation trends and remaining-useful-life prognostics are obtained in an online manner. In general, this approach provides support for intelligent aircraft maintenance where the analysis of cluster-specific component degradation models is integrated into the predictive maintenance process.

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An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets

Cited by 65 publications

References 23 publications

Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures

Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures

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

Online Model-Based Remaining-Useful-Life Prognostics for Aircraft Cooling Units Using Time-Warping Degradation Clustering

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