Digital twin driven prognostics and health management for complex equipment

By Fei Tao, Meng Zhang, Yushan Liu, Andrew Yeh-Ching Nee. 2018

847 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/0aa1cf7bdb3fbfb3e976b57fbf667e3bc6d47630

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In Control and Systems Engineering

In Electrical and Electronic Engineering

In Industrial and Manufacturing Engineering

Citations in the corpus

Predictive maintenance using digital twins: A systematic literature review (2022, methodology): “Next to [38], there was one study that used a geometric [65] representation and one study that used a behavior [58] model representation.”
A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics (2021, background): “, tools [116,117], bearings [118], ball screws [119], gears [15,120,121], pumps [122]) and the energy efficiency of the equipment [123,124] in order to handle the conflict between the unplanned maintenance operations and the resulting costs and productivity, particularly in SMEs, due to their limite”
Characterising the Digital Twin: A systematic literature review (2020, methodology): “5 Fidelity [33] [80] [108] [24] [85] [8] [56] [88] [68] [112] [99] [78] [32] [111] [36] [7] [71] [63] [61] [73] [20] [67] [6] [4] [48] [55] [95] [16] [92] [98] [87] [9] [66] [110] [18] [89] [12]”
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks (2020, methodology): “In particular, the authors constructed a general digital twin for complex equipment and proposed a new method for health management using digital twins [9].”
Digital Twin: Enabling Technologies, Challenges and Open Research (2020, methodology): “[89].The Digital Twin allows for the interaction and collaboration of machines potential, giving the ability for simulation of processes. Facilitating the goal of more accurate manufacturing [90] [91][79]. B. Digital Twin in Healthcare This next section discusses the open research for Digital Twins ”
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “Recently, DTs have also been adopted in various industries for purposes including product design [20], production line design [21], DT shop ﬂoors [22], production process optimization [23], and prognosis and health management [24].”
A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives (2019, background): “…physical entity in the real world and can simulate its physical counterpart’s characteristics, behavior, life and performance in a timely fashion” Qi and Tao (2018) “Virtual models of physical objects are created in a digital way to simulate their behaviors in real-world environments” Xu et…”
Digital twin paradigm: A systematic literature review (2021, methodology): “The digital twin in the design phase can be applied to the conceptual design, detailed design, and virtual verification (Tao et al., 2018a) of a product.”
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “There are several Multi-agent platform solutions, and they have been applied to different applications domains, from security and prevention of natural disaster [76], to e-health [77], smart homes [78], IoT [79][80], the DT itself [81][82].”