Components replacement decision by survival analysis based on categories of elevator operational parameters

Rama, Dovile; Andrews, John

doi:10.1201/b15938-107

Cited by 12 publications

(17 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model was designed for track deterioration rather than structural deterioration, however the author mentions that the PN modelling technique has a great deal of flexibility and the PN model presented in the paper is significantly more developed than others found in literature. Rama and Andrews (2013b) used a number of simple PN subnets to model the railway infrastructure in a hierarchical, modular structure. A number of different sub-net modules were created for component deterioration, maintenance, inspection and renewal.…”

Section: Petri-net Based Modelsmentioning

confidence: 99%

A Petri-Net-based modelling approach to railway bridge asset management

Yianni

Rama

Neves

et al. 2016

Structure and Infrastructure Engineering

View full text Add to dashboard Cite

A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. AbstractManagement of a large portfolio of infrastructure assets is a complex and demanding task for transport agencies. Although extensive research has been conducted on probabilistic models for asset management, in particular bridges, focus has been almost exclusively on deterioration modelling. The model being presented in this study tries to reunite a disjointed system by combining deterioration, inspection and maintenance models. A Petri-Net (PN) modelling approach is employed and the resulting model consists of a number of different modules each with its own source of data, calibration methodology and functionality. The modules interconnect providing a robust framework. The interaction between the modules can be used to provide meaningful outputs useful to railway bridge portfolio managers.

show abstract

Section: Petri-net Based Modelsmentioning

confidence: 99%

A Petri-Net-based modelling approach to railway bridge asset management

Yianni

Rama

Neves

et al. 2016

Structure and Infrastructure Engineering

View full text Add to dashboard Cite

show abstract

“…Nevertheless, there are various works (Li, 1998;Cheng et al, 2011;Molinero and Núñez, 2011;Cheng et al, 2013;Rinke et al, 2017) that use Petri nets to manage resources, to estimate equipment availability and scheduling of tasks on the site-work during the building design process. On the other hand, recent work has been published on the use of Petri Nets to model the deterioration of other civil engineering infrastructures (Andrews, 2013;Rama and Andrews, 2013;Le and Andrews, 2015;Le and Andrews, 2016;Leigh and Dunnett, 2016;Yianni et al, 2017;Zhang et al, 2017). In the last decades, various authors proposed several extensions and adaptations of ordinary Petri nets; all of them based on the basic Petri net formalism, but presenting very different characteristics and assumptions, in order to adapt themselves to the phenomena under analysis.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Petri net-based modelling of the durability of renderings

Ferreira

Neves

Silva

et al. 2018

Automation in Construction

View full text Add to dashboard Cite

In this study, a methodology to model and predict the life-cycle performance of building façades based on Stochastic Petri Nets is proposed. The proposed model evaluates the performance of rendered façades over time, evaluating the uncertainty of the future performance of these coatings. The performance of rendered façades is evaluated based on a discrete qualitative scale composed of five condition levels, established according to the physical and visual degradation of these elements. In this study, the deterioration is modelled considering that the transition times between these condition states can be modelled as a random variable with different distributions. For that purpose, a Stochastic Petri Nets model is used, as a formal framework to describe this problem. The model's validation is based on probabilistic indicators of performance, computed using Monte-Carlo simulation and the probability distribution parameters leading to better fit are defined as those maximizing the likelihood, computed using Genetic Algorithm. In this study, a sample of 99 rendered façades, located in Portugal, is analysed, and the degradation condition of each case study is evaluated through in-situ visual inspections. The model proposed allows evaluating: i) the transition rate between degradation conditions; ii) the probability of belonging to a given degradation condition over time; and iii) the mean time of permanence in each degradation condition. The use of Petri Nets shows to be more accurate than a more traditional approach based on Markov Chains, but

show abstract

“…A framework for modelling railway infrastructure reliability, based on the hierarchical representation of the railway network, was presented by Rama and Andrews [8], [35]. The model allows performance analysis to be conducted at varying levels of detail, ranging from an individual maintainable item to large multi-asset networks.…”

Section: Modelling Railway Infrastructure Reliabilitymentioning

confidence: 99%

A Modelling Framework for Railway Infrastructure Reliability Analysis

Fourie

Zhuwaki

2017

SAJIE

View full text Add to dashboard Cite

The maintenance and management of railway infrastructure plays a central role in ensuring the reliability and availability of rail transport. In a highly competitive transport market, the rail industry is required to employ new and innovative maintenance strategies that will position rail transport as an affordable and reliable transportation alternative. This can be realised through implementing maintenance strategies that prioritise efficient resource allocation. Application of reliability-based techniques to make informed decisions in maintenance management, with an overall aim of reducing operational expenditure while maintaining safety and efficiency, has been increasing. This paper presents a framework for the application of a reliability-based technique to evaluate the reliability of railway infrastructure systems. OPSOMMINGDie onderhoud en bestuur van spoorweginfrastruktuur speel 'n sentrale rol om die betroubaarheid en beskikbaarheid van spoorverkeer te verseker. In 'n hoogs-mededingende vervoer bedryf, word dit van die spoorindustrie verwag om nuwe en innoverende onderhoudstrategieë toe te pas. Dit sal dié industrie in die posisie stel om 'n bekostigbare en betroubare vervoerkeuse te wees. Hierdie posisie kan egter slegs bereik word indien onderhoudstrategieë toegepas word wat voorkeur gee aan die doeltreffende toewysing van hulpbronne. Daar is 'n toename in die toepassing van tegnieke gegrond op betroubaarheid vir die neem van ingeligte besluite in onderhoudbestuur. Die doel van die tegnieke is om bedryfsuitgawes te verminder terwyl veiligheid en doeltreffendheid behoue bly. In hierdie artikel word 'n raamwerk voorgestel vir die toepassing van tegnieke om betroubaarheid van spoorweginfrastruktuur te evalueer. INTRODUCTIONThe management of railway infrastructure assets involves a range of activities such as building, inspection, maintenance, enhancement, and renewal aimed at optimising the performance, risks, and costs of the infrastructure. This is a highly complex decision-making environment that requires various trade-offs. Furthermore, the relationship between the timing and choice of activities for multiple assets needs to be taken into account to achieve the required performance levels. Significant efforts have been made to develop decision support tools based on cost, risk, and reliability to assist with decision-making in highly complex asset management environments. used reliability-based techniques to develop a parametric model to predict correctly the failure rate probability of point-and-point machines in railway signalling subsystems. Additionally, similar reliability analyses using fault tree analysis have been applied to railway infrastructure systems to quantify the reliability performance of railway electrical subsystems [5]- [7].

show abstract

Components replacement decision by survival analysis based on categories of elevator operational parameters

Cited by 12 publications

References 2 publications

A Petri-Net-based modelling approach to railway bridge asset management

A Petri-Net-based modelling approach to railway bridge asset management

Stochastic Petri net-based modelling of the durability of renderings

A Modelling Framework for Railway Infrastructure Reliability Analysis

Contact Info

Product

Resources

About