The Development and use of a Digital Twin Model for Tire Touchdown Health Monitoring

Zakrajsek, Andrew J.; Mall, S.

doi:10.2514/6.2017-0863

Cited by 39 publications

(11 citation statements)

References 11 publications

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“…During damage detection and evaluation, accurate estimation of damage size, location, and orientation is computed by evaluating the cumulative signal responses at various pre-selected sensor locations using a genetic algorithm [111]. The work of Zakrajsek and Mall [84] introduced a DT model (DTw) of a specific aircraft tire at touchdown. The proposed DTw was built from high fidelity testing data with the aim of improving the tire-touchdown wear prediction to avoid tire flat spots and mishaps, which might cause high program costs, and increase the logistical and environmental footprint of the aircraft.…”

Section: B Aviationmentioning

confidence: 99%

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

2019

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When, in 1956, Artificial Intelligence (AI) was officially declared a research field, no one would have ever predicted the huge influence and impact its description, prediction, and prescription capabilities were going to have on our daily lives. In parallel to continuous advances in AI, the past decade has seen the spread of broadband and ubiquitous connectivity, (embedded) sensors collecting descriptive high dimensional data, and improvements in big data processing techniques and cloud computing. The joint usage of such technologies has led to the creation of digital twins, artificial intelligent virtual replicas of physical systems. Digital Twin (DT) technology is nowadays being developed and commercialized to optimize several manufacturing and aviation processes, while in the healthcare and medicine fields this technology is still at its early development stage. This paper presents the results of a study focused on the analysis of the stateof-the-art definitions of DT, the investigation of the main characteristics that a DT should possess, and the exploration of the domains in which DT applications are currently being developed. The design implications derived from the study are then presented: they focus on socio-technical design aspects and DT lifecycle. Open issues and challenges that require to be addressed in the future are finally discussed.

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Section: B Aviationmentioning

confidence: 99%

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

2019

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“…There is a large number of industries such as manufacturing and aviation, which have been developing and commercializing the digital twin in order to optimize their processes since last years [166]. In addition, the digital twin is also in its initial stage in healthcare and medicine fields and is expected to be fully commercialized with the development and deployment of 6G communication networks in the near future [167]. Despite, it is also being extensively applied in the IoT and Industry 4.0 domains.…”

Section: ) Artificial Intelligencementioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

861

241

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As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies. First, we attempt to answer the question of "Is there any need for 6G?" by shedding light on its key driving factors, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of "What 6G may look like?". This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.

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“…The uncertainty between the physical airframe and its DT was reduced by updating the service experience through Bayesian method. Another example is from Zakrajsek et al [26], who developed a physics-based DT of an aircraft tire to monitor its health at the aircraft touchdown. In order to predict the tire wear during touchdown a physics-based equation involving slip wear rate was derived and combined with the empirical results to create a nonlinear touchdown response surface.…”

Section: Digital Twin and Ivhmmentioning

confidence: 99%

Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)

Ezhilarasu

Skaf

Jennions

2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

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Integrated Vehicle Health Management (IVHM) aims to support Condition-Based Maintenance (CBM) by monitoring, diagnosing, and prognosing the health of the host system. One of the technologies required by IVHM to carry out its objectives is the means to emulate the functioning of the host system, and the concept of a Digital Twin (DT) was introduced in aerospace IVHM to represent the functioning of such a complex system. This paper aims to discuss the role played by DT in the field of IVHM. A DT is the virtual representation of any physical product, that is used to project the functioning of the product at a given instance. The DT is used across the lifecycle of any product, and its output can be customized depending upon the area of application. The DT is currently popular in industry because of the technologies like sensors, cloud computing, Internet of Things, machine learning, and advanced software, which enabled its development. This paper discusses what encompasses a DT, the technologies that support the DT, its applications across industries, and its development in academia. This paper also talks about how a DT can combine with IVHM technology to assess the health of complex systems like an aircraft. Lastly, this paper presents various challenges faced by industry during the implementation of a DT and some of the possible opportunities for future growth.

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The Development and use of a Digital Twin Model for Tire Touchdown Health Monitoring

Cited by 39 publications

References 11 publications

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

The Road Towards 6G: A Comprehensive Survey

Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)

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