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Tianhao Wang, Hongying Meng, Rui Qin, Fan Zhang and Asoke Kumar Nandi
Wind turbines are a crucial part of renewable energy generation, and their reliable and efficient operation is paramount in ensuring clean energy availability. However, the bearings in wind turbines are subjected to high stress and loads, resulting in fa...
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Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero and Marcello Chiaberge
New technologies are developed inside today?s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of...
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Xuejia Wu, Zhong Su, Lei Li and Zekun Bai
To address the issue of low positioning accuracy in unmanned vehicles navigating in obstructed spaces due to easily contaminated navigation measurement information, an improved adaptive federated Kalman filtering INS/GNSS/VNS integrated navigation algori...
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Guangya Zhu, Chongyu Wang, Wei Zhao, Yonghui Xie, Ding Guo and Di Zhang
The diagnosis of blade crack faults is critical to ensuring the safety of turbomachinery. Blade tip timing (BTT) is a non-contact vibration displacement measurement technique, which has been extensively studied for blade vibration condition monitoring re...
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Federico Ricci, Luca Petrucci, Francesco Mariani and Carlo Nazareno Grimaldi
The control of internal combustion engines is becoming increasingly challenging to the customer?s requirements for growing performance and ever-stringent emission regulations. Therefore, significant computational efforts are required to manage the large ...
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Gergo Dávid Monek and Szabolcs Fischer
Manufacturing processes can be cited as significant research areas when examining infrastructure systems and infrastructure, as they are inextricably linked to both. Examples include automobile manufacturing, the production of traffic signs, etc. Connect...
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Seyed Mohammad Hashemi, Seyed Ali Hashemi, Ruxandra Mihaela Botez and Georges Ghazi
This paper presents a methodology for designing a highly reliable Air Traffic Management and Control (ATMC) methodology using Neural Networks and Peer-to-Peer (P2P) blockchain. A novel data-driven algorithm was designed for Aircraft Trajectory Prediction...
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Peihao Huang, Tao Wang, Lin Ding, Huhuang Yu, Yong Tang and Dianle Zhou
The real-time fault detection and diagnosis algorithm of a liquid rocket engine is the basis of online reconfiguration of guidance and the control system of a launch vehicle, which is directly related to the success or failure of space mission. Based on ...
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Chenyong Wang, Chao Yang, Hongpeng Zhang, Shengzhao Wang, Zhaoxu Yang, Jingguo Fu and Yuqing Sun
Particulate pollutants mixed in hydraulic oil will lead to the failure of the marine hydraulic system. Nowadays, the current identification methods of particulate pollutants in oil make it challenging to obtain the specific parameters of pollutants. For ...
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Hui Zhu, Wen Yang, Shihong Li and Aiping Pang
Fault detection in heating, ventilation and air-conditioning (HVAC) systems can effectively prevent equipment damage and system energy loss, and enhance the stability and reliability of system operation. However, existing fault detection strategies have ...
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