Digital twin driven prognostics and health management for complex equipment

Tao, Fei; Zhang, Meng; Liu, Yushan; Nee, A. Y. C.

doi:10.1016/j.cirp.2018.04.055

Cited by 680 publications

(289 citation statements)

References 10 publications

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“…level Descriptions [17][18][19][20] Equipment Diagnosis, controlling, and optimizing the running mode of real equipments by interoperability between digital twin models [21][22][23][24] Manufacturing system…”

Section: Applicationmentioning

confidence: 99%

Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

Zhang

Zhu

2019

International Journal of Advanced Robotic Systems

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In the wake of the continuous deepening of the application of new generation information technology in the manufacturing field, digital twin, as a most new active factors for smart manufacturing, has become a new research hot spot. Based on such a background, the article proposes a novel application framework of digital twin-driven product smart manufacturing system and analyzes its operation mechanism. Key enabling technologies such as digital twin mapping technology with manufacturing entity, twinning of cyber and physical manufacturing system, as well as twining data-driven machining parameter optimization are also illustrated in detail. Finally, a case of the aeroengine fan blade manufacturing is given to demonstrate the feasibility and effectiveness of the implementation method mentioned above. Meanwhile, potential industrial applications and limitations are discussed as well to provide valuable insights to aeroengine blade manufacturers.

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Section: Applicationmentioning

confidence: 99%

Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

Zhang

Zhu

2019

International Journal of Advanced Robotic Systems

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“…Across the literature, when a DT is referred to, it could either mean the virtual representation of a product at an instant or encompass its entire life cycle [1]. Sometimes, it also refers to the entire environment involving the physical, virtual models, data connections between them, and the nature of output [9]. Similarly, the number of building blocks of a DT also differs with the literature, ranging from three ( [1], [10], [11]) to five [9], but they essentially have the same elements listed in a different order of importance.…”

Section: Building Blocks Of a Digital Twinmentioning

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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“…Currently, the creation of digital twins of helicopter dynamics systems using multibody simulations constitutes a new research scope that is expected to develop in the coming years. New digital twin models of complex mechanical systems as wind turbines [2] have recently been used to know more precisely the behaviour of power generation systems. Similar approaches with "physics model" representing digital entities of mechanical systems could be deployed in aeronautical industry.…”

Section: A Review Of Previous Work On Multibody Simulations Of Helicmentioning

confidence: 99%

Creation of helicopter dynamic systems digital twin using multibody simulations

et al. 2019

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This paper presents a new approach to develop digital twins of helicopter dynamic systems. Helicopter industries attach growing attention to the development of digital twins to be more predictive of mechanical parts lifetime. The number of sensors available to measure loads during flights is limited. Complementary simulations are necessary to compute all the loads that the mechanical parts undergo. A new process is described to build these simulations fed with flights data records. Complexity of helicopters dynamics systems leads to create several local models of subsystems using a multibody dynamic formalism. A study focused on a swashplate rotor assembly is presented to illustrate this approach, including a new model of bearing and its validation based on bench tests.

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Digital twin driven prognostics and health management for complex equipment

Cited by 680 publications

References 10 publications

Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

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

Creation of helicopter dynamic systems digital twin using multibody simulations

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