Aircraft Lifecycle Digital Twin for Defects Prediction Accuracy Improvement

Tyncherov, Timur; Rozkova, Liubov

doi:10.1007/978-3-030-44610-9_6

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Zhang et al [53] established a digital-thread-based modeling digital twin (DTDT) framework for an aircraft assembly system, enhancing the controllability and traceability of the manufacturing process and product quality through improved data management. Tyncherov et al [54] proposed DT modeling of aircraft operational life cycle by presenting aircraft systems' DTs with operational and maintenance environments as a cloud of data considering machine learning (ML) methods to improve prediction and planning accuracy. Tuegel et al [55] reengineered the aircraft structural life prediction process to high-performance digital computing, presenting a conceptual model of DTs for predicting aircraft structure life and assuring its structural integrity.…”

Section: Research Question Answersmentioning

confidence: 99%

“…In parallel with the establishment of regulatory frameworks, the potential of [5,[8][9][10][11]] DT utilization in the aviation industry has been explored and documented in numerous pieces of the scientific literature [44][45][46][47][48][49]. DTs can be used in any stage of the aircraft life cycle [50][51][52][53][54][55][56][57][58][59][60], such as design, manufacturing, operations, and maintenance. DTs can also be implemented on components as well as systems [61][62][63][64][65][66][67][68][69][70] that provide a comprehensive view of an aircraft and its individual parts.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Safe and Efficient Unmanned Aircraft System Operations: Literature Review of Digital Twins’ Applications and European Union Regulatory Compliance

Fakhraian

Šemanjski

Semanjski³

et al. 2023

Drones

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Unmanned aerial system/unmanned aircraft system (UAS) operations have increased exponentially in recent years. With the creation of new air mobility concepts, industries use cutting-edge technology to create unmanned aerial vehicles (UAVs) for various applications. Due to the popularity and use of advanced technology in this relatively new and rapidly evolving context, a regulatory framework to ensure safe operations is essential. To reflect the several ongoing initiatives and new developments in the domain of European Union (EU) regulatory frameworks at various levels, the increasing needs, developments in, and potential uses of UAVs, particularly in the context of research and innovation, a systematic overview is carried out in this paper. We review the development of UAV regulation in the European Union. The issue of how to implement this new and evolving regulation in UAS operations is also tackled. The digital twin (DT)’s ability to design, build, and analyze procedures makes it one potential way to assist the certification process. DTs are time- and cost-efficient tools to assist the certification process, since they enable engineers to inspect, analyze, and integrate designs as well as express concerns immediately; however, it is fair to state that DT implementation in UASs for certification and regulation is not discussed in-depth in the literature. This paper underlines the significance of UAS DTs in the certification process to provide a solid foundation for future studies.

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Section: Research Question Answersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Safe and Efficient Unmanned Aircraft System Operations: Literature Review of Digital Twins’ Applications and European Union Regulatory Compliance

Fakhraian

Šemanjski

Semanjski³

et al. 2023

Drones

View full text Add to dashboard Cite

show abstract

“…This implies a careful management approach to ensure the overall efficiency of manufacturing processes and/or aircraft operations. For example, optimising Maintenance, Repair and Overhaul (MRO) and further improvement to aircraft reliability in order to reduce unscheduled maintenance, improving the scheduled maintenance efficiency and per-flight costs [33], [34]. Because of the urgent need for the entire aviation industry to adapt effective life cycle management tools, the DT is able to demonstrate its value to the aerospace industry.…”

Section: B the Value Of Digital Twin For Aerospace Industrymentioning

confidence: 99%

Digital Twin in Aerospace Industry: A Gentle Introduction

Aslam

Wileman

et al. 2022

IEEE Access

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Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it be a product development, design optimisation, performance improvement, or predictive maintenance, digital twins are changing the ways work is undertaken in various industries with multifarious business applications. Aerospace industry, including its manufacturing base, is one such keen adopter of digital twins with an unprecedented interest in their bespoke design, development, and implementation across wider operations and critical functions. This, however, comes with some misconceptions about the digital twin technology and lack of understanding with respect to its optimal implementation. For instance, equating digital twin to an intelligent model while ignoring the essential components of data acquisition and visualisation, misleads the creators into building digital shadow or digital models, instead of the actual digital twin. This paper unfolds such intricacies of digital twin technology for the aerospace community in particular and others in general so as to remove the fallacies that affect their effective realisation for safety-critical systems. It comprises a comprehensive survey of digital twins and their constituent elements. Elaborating their characteristic stateof-the-art composition along with corresponding limitations, three dimensions of the future digital twins for aerospace sector, termed as aero-Digital Twins (aero-DTs), are proposed as an outcome of this survey. These include the interactive, standardisation, and cognitive dimensions of digital twins, which if leveraged diligently could help the aero-DT research and development community quadruple the efficiency of existing and future aerospace systems as well as their associated processes.

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“…Models for predicting tires replacement were introduced by [30] and [31]. Structural health management was proposed by [32], defect prediction by means of digital twins was investigated by [33], troubleshooting was studied by [34], neural networks together with AI and ML were used by [35] and [36] to forecast lumpy demand.…”

Section: Category 3: Process Development In Maintenance Repair and Ov...mentioning

confidence: 99%

Technology Roadmap for Aircraft Maintenance, Repair and Overhaul

Ichou

Veress

2022

RepTudKoz

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Nowadays, the demand for aircraft Maintenance, Repair and Overhaul (MRO) is constantly growing. The market size of the European MRO segment is estimated to be USD 206.13 billion in 2022, growing at a Compound Annual Growth Rate (CAGR) of 2.8% between 2022 and 2030 [1]. This forecast is a good indication of the growth in the number of incoming assignments. As a result, airlines and aircraft operators will increasingly rely on companies with experience in the MRO field to perform maintenance and repair work. Furthermore, as many airlines now choose to outsource maintenance and repair, this will further increase the load on MRO companies. As the number of incoming jobs increases, the companies concerned are constantly looking for and implementing new and better methods and technologies, with another aim of gaining a larger market share. Moreover, as there is still scope for the development and introduction of new technologies and processes in this area, a significant number of research and development projects are underway or in the pipeline. Therefore, the main objective of this study is to use the available information to present a generalised technology roadmap for the companies involved in MRO activities and, on this basis, to collect, present and categorise the state-of-the-art developments in the MRO sector, highlighting what the future will hold for companies that incorporate these revolutionary innovations into their daily work processes.

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Aircraft Lifecycle Digital Twin for Defects Prediction Accuracy Improvement

Cited by 7 publications

References 6 publications

Towards Safe and Efficient Unmanned Aircraft System Operations: Literature Review of Digital Twins’ Applications and European Union Regulatory Compliance

Towards Safe and Efficient Unmanned Aircraft System Operations: Literature Review of Digital Twins’ Applications and European Union Regulatory Compliance

Digital Twin in Aerospace Industry: A Gentle Introduction

Technology Roadmap for Aircraft Maintenance, Repair and Overhaul

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