|
|
|
|
|
Chao-Chung Peng and Yi-Ho Chen
Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provide r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhihuan Wang, Chenguang Meng, Mengyuan Yao and Christophe Claramunt
Maritime ports are critical logistics hubs that play an important role when preventing the transmission of COVID-19-imported infections from incoming international-going ships. This study introduces a data-driven method to dynamically model infection ris...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arthur Vrijdag and Michele Martelli
Simulation models of the ship propulsion system play an increasingly important role, for instance in controller design and condition monitoring. However, creation of such simulation models requires significant time and effort. In this paper, the applicat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hoofar Shokravi, Hooman Shokravi, Norhisham Bakhary, Mahshid Heidarrezaei, Seyed Saeid Rahimian Koloor and Michal Petru
A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field. Theref...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chidentree Treesatayapun
Robotic systems equipped with a task-multiplexer unit are considered as a class of unknown non-linear discrete-time systems, where the input is a command voltage of the driver unit and the output is the feedback signal obtained by the multiplexer unit. W...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanfeng Ma, Jia Liu, Haihang Liu and Shuqiang Zhao
Large-scale wind power interfacing to the power grid has an impact on the stability of the power system. However, with an additional damping controller of the wind generator, new ways for improving system damping and suppressing the low frequency oscilla...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juseong Lee, Mihaela Mitici, Henk A. P. Blom, Pierre Bieber and Floris Freeman
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenbo He, Xiaoqiang Zhang, Zhenyu Feng, Qiqi Leng, Bufeng Xu and Xinmin Li
Dynamic load identification plays an important role in the field of fault diagnosis and structural modification design for aircraft. In conventional dynamic load identification approaches, accurate structural modeling is usually needed, which is difficul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Higuatzi Moreno and Alexander Schaum
Batteries are complex systems involving spatially distributed microscopic mechanisms on different time scales whose adequate interplay is essential to ensure a desired functioning. Describing these phenomena yields nonlinearly coupled partial differentia...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xianglei Liu, Songxue Zhao, Peipei Wang, Runjie Wang and Ming Huang
With the advantage of non-contact measurement, ground-based synthetic aperture radar (GB-SAR) has been widely used to obtain the dynamic deflection of various bridges. Data-driven stochastic subspace recognition (Data-SSI), a popularized time-domain tech...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donya Hajializadeh
With the ever-increasing number of well-aged bridges carrying traffic loads beyond their intended design capacity, there is an urgency to find reliable and efficient means of monitoring structural safety and integrity. Among different attempts, vibration...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lijun Liu, Xin Zhang, Ying Lei and Zhupeng Zheng
Due to the unpredictability of seismic excitation, the data-driven damage identification method, which only depends on the monitoring response data, has a good development prospect in structural health monitoring. In recent years, damage identification m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angelo Lerro, Alberto Brandl, Manuela Battipede and Piero Gili
Digital avionic solutions enable advanced flight control systems to be available also on smaller aircraft. One of the safety-critical segments is the air data system. Innovative architectures allow the use of synthetic sensors that can introduce signific...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nina Harting, René Schenkendorf, Nicolas Wolff and Ulrike Krewer
In this study, we show an effective data-driven identification of the State-of-Health of Lithium-ion batteries by Nonlinear Frequency Response Analysis. A degradation model based on support vector regression is derived from highly informative Nonlinear F...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shailesh Kumar Singh, Sharad K. Jain and András Bárdossy
Artificial Neural Networks (ANNs) are classified as a data-driven technique, which implies that their learning improves as more and more training data are presented. This observation is based on the premise that a longer time series of training samples w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hamad Almaghrabi, Ben Soh and Alice Li
Effective and efficient use of information and communication technology (ICT) systems in the administration of educational organisations is crucial to optimise their performance. Earlier research on the identification and analysis of ICT users? satisfact...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Masum Billah, Jing Zhang and Tianchi Zhang
Data-driven technologies and automated identification systems (AISs) provide unprecedented opportunities for maritime surveillance. As part of enhancing maritime situational awareness and safety, in this paper, we address the issue of predicting a ship?s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Taewoong Hwang and Ik-Hyun Youn
The collision avoidance system is one of the core systems of MASS (Maritime Autonomous Surface Ships). The collision avoidance system was validated using scenario-based experiments. However, the scenarios for the validation were designed based on COLREG ...
ver más
|
|
|
|
|
|