A digital twins concept model for integrated maintenance: a case study for crane operation

Szpytko, Janusz; Duarte, Yorlandys Salgado

doi:10.1007/s10845-020-01689-5

Cited by 32 publications

(11 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the context of adoption DTs in crane operations, the authors in [67,68] have proposed a maintenance model called Integrated Maintenance Decision Making Model (IDMM) for cranes operating in control terminals. The IDMM model targets to improve crane operations using DTs technologies by introducing crane maintenance based on Monte Carlo Markov Chain and Particle Swarm Optimization.…”

Section: Overview Of Smart Transportation Industrymentioning

confidence: 99%

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case

et al. 2021

View full text Add to dashboard Cite

Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation of physical assets, supporting decision-making, and avoiding the potential risks in distributed manufacturing systems. Furthermore, DTs need to collaborate within distributed manufacturing systems to predict the risks and reach consensus-based decision-making. However, DTs collaboration suffers from single failure due to attack and connection in a centralized manner, data interoperability, authentication, and scalability. To overcome the above challenges, we have discussed the major high-level requirements for the DTs collaboration. Then, we have proposed a conceptual framework to fulfill the DTs collaboration requirements by using the combination of blockchain, predictive analysis techniques, and DTs technologies. The proposed framework aims to empower more intelligence DTs based on blockchain technology. In particular, we propose a concrete ledger-based collaborative DTs framework that focuses on real-time operational data analytics and distributed consensus algorithms. Furthermore, we describe how the conceptual framework can be applied using smart transportation system use cases, i.e., smart logistics and railway predictive maintenance. Finally, we highlighted the future direction to guide interested researchers in this interesting area.

show abstract

Section: Overview Of Smart Transportation Industrymentioning

confidence: 99%

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case

et al. 2021

View full text Add to dashboard Cite

show abstract

“…To make the comparison of the results clearer, this study adjusted the sum of the detection result values to 1 for each point. The rate of change of the cross-sectional area of each node on the cable was corrected according to Equation (17), and the results of the detection of the structural safety performance expressed by the corrected rate of change of the cross-sectional area of each node on the cable were used for comparison with the results of the D-S evidence theory. The discrimination of the sensitivity of each node of the cable is presented in Table 3.…”

Section: Data Analysis Based On D-s Evidence Theorymentioning

confidence: 99%

“…denotes the cross-sectional area of the nodes on the cable after a temperature increase of 55 °C. = * (17) In Equation 17, denotes the corrected rate of change of the cross-sectional area of each node on the cable, and indicates the coefficient of correction of the rate of change, = ∑ * . The rate of change of the cross-sectional area of each node on the cables was calculated according to Equation (16).…”

Section: Data Analysis Based On D-s Evidence Theorymentioning

confidence: 99%

“…Meng et al [16] used DT technology in vehicle life prediction and maintenance decision making, which describes the working state of the system more accurately, thus enabling online optimal decision making and feedback control of the vehicle. Szpytko et al [17] proposed an integrated maintenance decision model for cranes under operating conditions based on the DT concept, which effectively improved the operational efficiency of cranes and reduced the safety risk of equipment operation. Zhou et al [18] proposed a DT model of a centrifugal impeller and established parametric centrifugal impeller DTs, which can significantly improve the design and manufacturing level of the centrifugal impeller and shorten the design cycle.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

et al. 2021

View full text Add to dashboard Cite

The information collected on large-span prestressed cables by field sensors is susceptible to interference, which leads to inaccurate collection of structural and mechanical parameters of large-span prestressed cables, resulting in misjudgment of structural safety performance. This paper proposes an intelligent judgment method for improving the sensitivity of analyzing mechanical parameters of prestressed cables based on digital twins (DTs). The safety performance of the structure was evaluated by analyzing the mechanical parameters. First, the information during prestressed cable tensioning is dynamically sensed, thereby establishing a multidimensional model of structural analysis. The virtual model is processed by the model modification rule to improve the robustness of the simulation; thus, a DT framework for the sensitivity judgment of the mechanical parameters of the cable is built. In the twin model, the simulation data of the real structure were extracted. Probabilistic analysis was performed using the Dempster–Shafer(D–S) evidence theory to discriminate the sensitivity of mechanical parameters of each cable node under the action of external forces with high accuracy and intelligence. Sensitivity analysis provides a reliable basis for the safety performance assessment of structures. Taking the wheel–spoke-type cable truss as an example, the application of DTs and D–S evidence theory to the sensitivity determination of cable mechanical parameters under temperature fully verified that the proposed intelligent method can effectively evaluate the safety performance of the actual structure.

show abstract

“…In current generation smart manufacturing industries with high correlation which is not duplicated from any physical loop process have been conferred [13]. is is done in order to realize the prerequisite of all industrial applications which includes operation of cranes for a separate management process [14].…”

Section: Introductionmentioning

confidence: 99%

Examining the Effect of Cyber Twin and Blockchain Technologies for Industrial Applications Using AI

Manoharan¹,

Teekaraman

Kuppusamy³

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In current generation the concept of cyber twin technology has been emerging as an improved platform for different applications. This paper emphasize on examining the effect of cyber twin technology for manufacturing equipment in Industry 4.0 applications by solving three different elementary objectives. For the proposed conception a new system model is identified for integrating triobjective cases with artificial intelligence algorithm. In addition, high security measures are also incorporated using blockchain technology which is one basic requirement for industrial applications for creating real twins. Both system model and algorithm have been combined for providing effective performance in real time using a physical entity. The effectiveness of the proposed model is tested with sensor prototype and simulated with four scenarios where the projected model provides better performance for more than 72% when compared with existing methodologies.

show abstract

A digital twins concept model for integrated maintenance: a case study for crane operation

Cited by 32 publications

References 32 publications

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

Examining the Effect of Cyber Twin and Blockchain Technologies for Industrial Applications Using AI

Contact Info

Product

Resources

About