Zobrazeno 1 - 10
of 1 107
pro vyhledávání: '"wavelet threshold"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The mine wind speed sensor is an important intelligent sensing equipment in the mine intelligent ventilation system that can provide accurate and key wind speed parameters for the intelligent ventilation system. The turbulent pulsation chara
Externí odkaz:
https://doaj.org/article/d16642fbde2b4446a8202deb8234af10
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-12 (2024)
Abstract Suppressing random noise in seismic signals is an important issue in research on processing seismic data. Such data are difficult to interpret because seismic signals usually contain a large amount of random noise. While denoising can be use
Externí odkaz:
https://doaj.org/article/0b4a32f8f12f4879b8f28f5660efbe9d
Publikováno v:
Journal of Isotopes, Vol 38, Iss 2, Pp 153-163 (2024)
Neutron radiography is an important nondestructive testing technique in the industrial field. In the process of neutron imaging, it is affected by ray interference, neutron scattering, statistical fluctuation of neutron fluence rate and electronic no
Externí odkaz:
https://doaj.org/article/222fe44b7b314a6eacf24ae84a71be38
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractThe primary objective of this study is to address the issue of noise in underwater propeller signals. The motivation for this research arises from the challenge of distinguishing signal and noise components in underwater propeller signals, pa
Externí odkaz:
https://doaj.org/article/688321c81c5e4587b193526654053ac2
Publikováno v:
IEEE Access, Vol 12, Pp 85178-85189 (2024)
The electromagnetic radiation signal generated by loaded coal and rock is widely used to predict coal and rock dynamic disasters. However, due to the presence of significant electromagnetic interference at the coal mine site, the accuracy of the coll
Externí odkaz:
https://doaj.org/article/9b7c19529f654aa9834683a7d6c6d566
Publikováno v:
IEEE Access, Vol 12, Pp 36908-36923 (2024)
Aiming at the problem of noise interference leading to poor fault diagnosis effect of rolling bearing, a two-stage signal noise reduction method based on multi-strategy coati optimization algorithm (MFCOA) optimized ICEEMDAN combined with wavelet thr
Externí odkaz:
https://doaj.org/article/636399fe153042ba85524949a2d9d699
Publikováno v:
发电技术, Vol 44, Iss 6, Pp 824-832 (2023)
Fault diagnosis of wind turbines suffers from less training data and noises. A method based on wide deep convolutional neural network with resampling and principal component analysis was presented for the diagnosis of mechanical faults (that is the m
Externí odkaz:
https://doaj.org/article/55a1013d62334f77bfd3e3aa03212287
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1683 (2024)
As the nonlinear and coupling characteristics of autonomous underwater vehicles (AUVs) are the challenges for motion modeling, the nonparametric identification method is proposed based on dung beetle optimization (DBO) and deep temporal convolutional
Externí odkaz:
https://doaj.org/article/1b5d03125b7f49a986626e79dfd3f001
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28112- (2024)
The Long Short-Term Memory neural network is a specialized architecture designed for handling time series data, extensively applied in the field of predicting gas concentrations. In the harsh conditions prevalent in coal mines, the time series data o
Externí odkaz:
https://doaj.org/article/a044aaa0c26b49f99bfa322ae09fdbc9
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1013-1022 (2023)
Aiming to reduce the short-term household load prediction error caused by small load scale and differently residential electricity consumption behavior, a novel hybrid forecasting model based on wavelet threshold denoising (WTD), variational mode dec
Externí odkaz:
https://doaj.org/article/599b004c3fe04300b3b8de44446f59ff