Results 71 to 80 of about 245 (131)

A Study on Fault Localization Method of Three-Terminal Multi-Section Overhead Line–Cable Hybrid Line Using MEEMD Combined with Teager Energy Operator Algorithm

Processes
An improved fault localization method combining total aggregate empirical modal decomposition (MEEMD) and Teager energy operator (TEO) is proposed to address the fault localization issue of three-terminal multi-segment overhead line–cable hybrid transmission lines. This method solves the fault localization problem caused by wave impedance discontinuity
Wensi Cao, Fuqian Zhang, Xi Chen, Bin Zhang, Jifang Li, Mingming Xu   +5 more
openaire   +1 more source

Monitoraggio di profili multiscala basato su empirical mode decomposition [PDF]

, 2014
LAUREA MAGISTRALENell’ambito delle lavorazioni meccaniche, si osserva un crescente interesse per il monitoraggio della qualità del processo basato su segnali acquisiti da uno o più sensori durante la lavorazione stessa.
CARROCCIA, ANDREA
core  

Fault Diagnosis Method Based on MTF-ResDSCNN Two-dimensional Image

Jixie chuandong
In order to effectively capture the fault features contained in the vibration signals of the rotating machinery and complete the fault diagnosis task efficiently, a fault diagnosis model combining two-dimensional image features and lightweight neural ...
Hu Mengnan, Yang Xiwang, Huang Jinying, Hu Hongjun, Wang Cheng   +4 more
doaj  

Grey-informed neural network for time-series forecasting

Neural network models have shown outstanding performance and successful resolutions to complex problems in various fields. However, the majority of these models are viewed as black-box, requiring a significant amount of data for development. Consequently,
Liang, Tingting, Xie, Wanli, Xu, Zhenguo, Zhao, Ruibin   +3 more
core  

Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings. [PDF]

Sensors (Basel), 2021
Lv J, Sun W, Wang H, Zhang F.
europepmc   +1 more source

Quantum Computing in Intelligent Transportation Systems: A Survey

Quantum computing, a field utilizing the principles of quantum mechanics, promises great advancements across various industries. This survey paper is focused on the burgeoning intersection of quantum computing and intelligent transportation systems ...
Azfar, Talha, Guo, Qianwen Vivian, Ke, Ruimin, Sun, Wei, Wang, Xiaokun Cara, Wang, Yinhai, Zhuang, Yifan   +6 more
core  

Multidimensional and multivariate empirical mode decomposition [PDF]

, 2019
Over the last decade, Empirical Mode Decomposition (EMD) has developed into a versatile tool for adaptive, scale-based modal decomposition. EMD has proven to be capable of decomposing multivariate signals with cross-channel mode alignment.
Thirumalaisamy, Mruthun R.
core  

Electric vehicle battery technologies and capacity prediction: a comprehensive literature review of trends and influencing factors [PDF]

Electric vehicle (EV) battery technology is at the forefront of the shift towards sustainable transportation. However, maximising the environmental and economic benefits of electric vehicles depends on advances in battery life cycle management.
Duong, Quang Huy, Fernandez De Arroyabe Arranz, Carlos, Sang, V.T.D, Zhou, Li   +3 more
core   +1 more source

Current Status and Applications for Hydraulic Pump Fault Diagnosis: A Review. [PDF]

Sensors (Basel), 2022
Yang Y, Ding L, Xiao J, Fang G, Li J.
europepmc   +1 more source

A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition. [PDF]

Sci Rep, 2023
Zhang X, Liu F, Yin Q, Qi Y, Sun S.
europepmc   +1 more source