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Roberto Scigliano, Valeria De Simone, Roberta Fusaro, Davide Ferretto and Nicole Viola
The design of integrated and highly efficient solutions for thermal management is a key capability for different aerospace products, ranging from civil aircraft using hydrogen on board to miniaturized satellites. In particular, this paper discloses a nov...
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Dongeun Kim and Yoon Hyeok Bae
Generally, new and renewable energy systems generate electricity by installing and operating multiple modules simultaneously. In the Republic of Korea, recent studies and developments have focused on asymmetric wave energy converters (hereafter referred ...
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Dongyang Yu, Feihu Peng, Zhihao Zeng, Minghua Zhang, Wenwu Yang, Ying Zang, Jianfei He, Yichen Huang, Yuguang Wu, Wenneng Zhong, Ziyou Guo, Jiawen Liu, Guanjiong Li, Xingmou Qin and Zaiman Wang
This investigation considered the effects of both internal and external excitation vibrations on the efficacy of the seed dispenser in a rice precision hole seeder. Through comprehensive field tests, we analyzed vibrational characteristics during direct ...
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Christopher Jun Qian Teh, Micheal Drieberg, Khairul Nisak Md Hasan, Abdul Latif Shah and Rizwan Ahmad
The use of photovoltaic (PV) panels in interior spaces is expected to increase due to the proliferation of low-power sensor devices in the IoT domain. PV models are critical for estimating the I?V curves that define their performance at various light int...
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Christian Lehr, Pascal Munsch, Romuald Skoda and Andreas Brümmer
The acoustic properties of a single-stage centrifugal pump with low specific speed are investigated by means of compressible 3D CFD simulations (URANS) and experiments. In order to determine the pump?s acoustic transmission and excitation characteristics...
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Feixiang Ren, Jiwang Du and Daofang Chang
To address the challenge of accurate lifespan prediction for bearings in different operating conditions within ship propulsion shaft systems, a two-stage prediction model based on an enhanced domain adversarial neural network (DANN) is proposed. Firstly,...
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Yingying Liang, Peng Zhao and Yimeng Wang
Deep learning has undergone significant progress for machinery fault diagnosis in the Industrial Internet of Things; however, it requires a substantial amount of labeled data. The lack of sufficient fault samples in practical applications remains a chall...
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Mohamed A. A. Mohamed, Seang Shen Yeoh, Jason Atkin, Ahmed M. Diab, Mohsen Khalaf and Serhiy Bozhko
A control approach for aircraft Starter/Generator (S/G) with Permanent Magnet Machine (PMM) operating in Flux Weakening (FW) mode is presented. The proposed strategy helps the previous approaches which are adopted for the Variable Voltage Bus (VVB) or Vo...
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Weiwei Jiang, Yafeng Zhan and Xiaolong Xiao
With the growing demand for massive access and data transmission requests, terrestrial communication systems are inefficient in providing satisfactory services. Compared with terrestrial communication networks, satellite communication networks have the a...
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James Simon Flynn, Cinzia Giannetti and Hessel Van Dijk
In many manufacturing systems, anomaly detection is critical to identifying process errors and ensuring product quality. This paper proposes three semi-supervised solutions to detect anomalies in Direct Current (DC) Nut Runner engine assembly processes. ...
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