|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Shufang Bai, Yun Zeng, Fang Dao, Boyi Xiao, Xiang Li and Jing Qian
Studies show that sediment erosion is one of the main factors attributing to hydraulic turbine failure. The present paper represents an investigation into acoustic vibration signals generated by the water flow impacting the hydraulic turbine runner under...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dong Dai, Du Chen, Shumao Wang, Song Li, Xu Mao, Bin Zhang, Zhenyu Wang and Zheng Ma
Effective indoor testing on a four-poster rig of agricultural machinery should mimic the real-world environment while the machinery is in farming and transportation. The emerging load spectrum extrapolation and compilation are capable of speeding up the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Wang, Xiaodong Zhao, Wenhang Liu, Jianqiang Du, Dongxu Zhao and Zhihong Yu
During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield...
ver más
|
|
|
|
|
|
|
|
|
|
|
Teresa Kwamboka Abuya, Richard Maina Rimiru and George Onyango Okeyo
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details? preservation. During the transmission of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinghong Jiang, Qing Lang, Qiang Jing, Hui Wang, Juntao Chen and Qing Ai
This improved wavelet threshold denoising method can select the optimal wavelet basis, decomposition layer and threshold in an objective way, which has potential application for the data cleaning of structural health monitoring data of critical infrastru...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junbin Zang, Juliang Wang, Zhidong Zhang, Yongqiu Zheng and Chenyang Xue
Cardiovascular disease and its consequences on human health have never stopped and even show a trend of appearing in increasingly younger generations. The establishment of an excellent deep learning algorithm model to assist physicians in identifying and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yi Hu, Lifei Song, Zuyuan Liu and Jianxi Yao
Nowadays, system-based simulation is one of the main methods for ship manoeuvring prediction. Great efforts are usually devoted to the determination of hydrodynamic derivatives as required for the mathematical models used for such methods. System identif...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinpeng Wang, Shengxiang Huang, Chao Kang, Guanqing Li and Chenfeng Li
When the dynamic characteristics of a bridge structure are analyzed though Hilbert?Huang transform (HHT), the noise contained in the bridge dynamic monitoring data may seriously affect the performance of the first natural frequency identification. A time...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanan Li and Zhaohui Li
Partial Discharge (PD) measurements of large generators are extremely affected and hampered by noise, making the denoising of PD signal an inevitable issue. Wavelet shrinkage is the most commonly employed method for PD signal denoising. The appropriate m...
ver más
|
|
|
|
|
|