Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Weifang Sun"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Rapid tool wear conditions during the manufacturing process are crucial for the enhancement of product quality. As an extension of our recent works, in this research, a generic in-situ tool wear condition monitoring during the end milling pr
Externí odkaz:
https://doaj.org/article/9d2f9f2052d54f34910760136452307c
Autor:
Yuqing Zhou, Weifang Sun
Publikováno v:
IEEE Access, Vol 8, Pp 95491-95502 (2020)
Accurate tool condition monitoring (TCM) is essential for the development of fully automated milling processes. This is typically accomplished using indirect TCM methods that synthesize the information collected from one or more sensors to estimate t
Externí odkaz:
https://doaj.org/article/e87d75620b9f4244a5307f42a441a746
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Accurate identification of the type of seizure is very important for the treatment plan and drug prescription of epileptic patients. Artificial intelligence has shown considerable potential in the fields of automated EEG analysis and seizure classifi
Externí odkaz:
https://doaj.org/article/8e0b1c89b1f141088b5e3f062fd2f3c6
Removal of Power Line Interference From ECG Signals Using Adaptive Notch Filters of Sharp Resolution
Publikováno v:
IEEE Access, Vol 7, Pp 150667-150676 (2019)
The noise cancellation in electrocardiogram (ECG) signal is very influential to distinguish the essential signal features masked by noises. The power line interference (PLI) is the main source of noise in most of bio-electric signals. Digital notch f
Externí odkaz:
https://doaj.org/article/a1627eb2842045be80526c6bf01d7b11
Publikováno v:
IEEE Access, Vol 7, Pp 67123-67129 (2019)
Electrocardiogram (ECG) signal represents the electrical activity of the heart and playing an increasingly important role for practitioners to diagnose heart diseases. Widely available ECG data and machine learning algorithms present an opportunity t
Externí odkaz:
https://doaj.org/article/29a6c9e6d1d44ebeb1993963d54f0186
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Externí odkaz:
https://doaj.org/article/f3ee38e5cfb94fada61c2062af3b08ed
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Precise three-dimensional measurements of surfaces are significant in many fields. Usually, three-dimensional descriptions of the object surface have to be acquired by contact measure probe or other non-contact equipment. The paper proposed a novel s
Externí odkaz:
https://doaj.org/article/59e5bd9827794e20a0961983a6a1e566
Publikováno v:
Applied Sciences, Vol 8, Iss 3, p 381 (2018)
Machined surfaces are rough from a microscopic perspective no matter how finely they are finished. Surface roughness is an important factor to consider during production quality control. Using modern techniques, surface roughness measurements are ben
Externí odkaz:
https://doaj.org/article/0810dcf28eba42aa821f6835dba46f24
Publikováno v:
Materials, Vol 10, Iss 8, p 925 (2017)
Power generation using waste-gas is an effective and green way to reduce the emission of the harmful blast furnace gas (BFG) in pig-iron producing industry. Condition monitoring of mechanical structures in the BFG power plant is of vital importance t
Externí odkaz:
https://doaj.org/article/ac56f32da29c4f65a7d987724bd811db
Publikováno v:
Materials, Vol 10, Iss 7, p 790 (2017)
As a typical example of large and complex mechanical systems, rotating machinery is prone to diversified sorts of mechanical faults. Among these faults, one of the prominent causes of malfunction is generated in gear transmission chains. Although the
Externí odkaz:
https://doaj.org/article/cc13adb1d2ad447ea3f9f820568ce89a