|
|
|
|
|
Zuoxin Wang and Xiaohu Zhao
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wentao Wang, Huiqi Zhu, Yingxin Cheng, Yiyuan Tang, Bo Liu, Huokun Li, Fan Yang, Wenyuan Zhang, Wei Huang and Fang Zheng
To address the issue of the vibration characteristic signals of floodgates being affected by background white noise and low-frequency water flow noise, a noise reduction method combining the improved adaptive singular value decomposition algorithm (ASVD)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhifu Lin, Hong Xiao, Xiaobo Zhang and Zhanxue Wang
Accurate prediction of aircraft engine thrust is crucial for engine health management (EHM), which seeks to improve the safety and reliability of aircraft propulsion. Thrust prediction is implemented using an on-board adaptive model for EHM. However, the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kejia Huang, Chenliang Wang, Runying Liu and Guoxiong Chen
High-performance spatial target snapping is an essential function in 3D scene modeling and mapping that is widely used in mobile augmented reality (MAR). Spatial data snapping in a MAR system must be quick and accurate, while real-time human?computer int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongjiang Cui, Ying Guan and Wu Deng
Aiming at the problems of poor decomposition quality and the extraction effect of a weak signal with strong noise by empirical mode decomposition (EMD), a novel fault diagnosis method based on cascaded adaptive second-order tristable stochastic resonance...
ver más
|
|
|
|
|
|
|
|
|
|
|
Camelia Elisei-Iliescu, Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Andrei-Alexandru Enescu and Silviu Ciochina
High-dimensional system identification problems can be efficiently addressed based on tensor decompositions and modelling. In this paper, we design a recursive least-squares (RLS) algorithm tailored for the identification of trilinear forms, namely RLS-T...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingxiao Zhao, Zhiyang Li, Junsheng Zhang and Bin Teng
In recent years, wave energy has gained attention for its sustainability and cleanliness. As one of the most important parameters of wave energy, significant wave height (SWH) is difficult to accurately predict due to complex ocean conditions and the ubi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongya Qu, An Chang, Tiantian Li and Zhongguo Guan
Deriving critical parametric information from recorded signals for system identification is critical in structural health monitoring and damage detection, while the time-varying nature of most signals often requires significant processing efforts due to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Guo, Zhiqian Zhao, Tao Wang, Guangheng Liu, Jingyi Zhao and Dianrong Gao
Under different degradation conditions, the complexity of natural oscillation of the piston pump will change. Given the difference of the characteristic values of the vibration signal under different degradation states, this paper presents a degradation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiawen Tan, Wenlong Fu, Kai Wang, Xiaoming Xue, Wenbing Hu and Yahui Shan
Rolling bearing is of great importance in modern industrial products, the failure of which may result in accidents and economic losses. Therefore, fault diagnosis of rolling bearing is significant and necessary and can enhance the reliability and efficie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yicheng Gong, Zhongjing Wang, Guoyin Xu and Zixiong Zhang
The reliable and accurate prediction of groundwater levels is important to improve water-use efficiency in the development and management of water resources. Three nonlinear time-series intelligence hybrid models were proposed to predict groundwater leve...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinxiu Ma, An Li, Fangjun Qin, Wenbin Gong and Hao Che
The marine atomic interferometric gravimeter is a vital precision instrument for measuring marine geophysical information, which is widely used in mineral resources exploration, military applications, and missile launches. In practical measurements, vibr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuyi Zhang, Yang Bai, Yuan Ma, Peidong He, Yinhui Tang and Xiaoning Lv
Raman spectroscopy has been widely applied in numerous fields including bioanalysis, disease diagnosis, and molecular recognition, owing to its unique advantages of being non-invasive, rapid, and highly specific. However, the acquisition of Raman spectra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Viktor Kosenko
Pág. 46 - 52
The subject matter of the article is the processes of structural synthesis and parametric analysis of information and telecommunication networks (ITN). The aim is to develop the methodological apparatus which will enable obtaining ITN structural and tech...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingyong Zhang, Changhuan Song and Yiqing Yuan
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ling Zhao, Xin Chi, Pan Li and Jiawei Ding
A rolling bearing vibration signal fault feature enhancement method based on adaptive complete ensemble empirical mode decomposition with adaptive noise algorithm (CEEMDAN) and maximum correlated kurtosis deconvolution (MCKD) is proposed to address the i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zongyou Xia, Gonghao Duan and Ting Xu
Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Szabolcs Fischer, Nándor Liegner, Péter Bocz, Ákos Vinkó and György Terdik
This paper deals with the time-frequency characteristic analysis for track geometry irregularities using field data recorded by a comprehensive track inspection train. The parameters of the track gauge and the left and right rail alignment are considered...
ver más
|
|
|
|
|
|
|
|
|
|
|
Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes
In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide ...
ver más
|
|
|
|
|
|