Zobrazeno 1 - 10
of 860
pro vyhledávání: '"defect identification"'
Publikováno v:
International Journal of Lightweight Materials and Manufacture, Vol 7, Iss 4, Pp 546-555 (2024)
Additive Manufacturing (AM) technology is recognized as a pivotal direction for future technological and industrial advancement. Nevertheless, inherent to the manufacturing process are defects such as pores, inclusions, lack of fusion, and layering,
Externí odkaz:
https://doaj.org/article/4e48c0f7b3be43e8b0e3056b3516547c
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38498- (2024)
This study proposes a vision transformer to detect visual defects on steel surfaces. The proposed approach utilizes an open-source image dataset to classify steel surface conditions into six fault categories namely, crazing, inclusion, rolled in, pit
Externí odkaz:
https://doaj.org/article/7952084256ec49e98a9ac54bf44ff9ef
Publikováno v:
IEEE Access, Vol 12, Pp 178022-178037 (2024)
Ball screw drives (BSDs) play a crucial role in various industrial applications, particularly in CNC machines. However, they are vulnerable to external variables potentially leading to premature wear, degradation, and failure. Traditional fault diagn
Externí odkaz:
https://doaj.org/article/20ff16387b1f4da5b2eb86a0711e44f7
Publikováno v:
IEEE Access, Vol 12, Pp 157487-157495 (2024)
Ultra high voltage (UHV) metal oxide arrester (MOA) is prone to problems such as resistance sheet aging and moisture exposure during long-term operation. Due to the larger size and more complex structure of the UHV arrester, the full current, resisti
Externí odkaz:
https://doaj.org/article/cf55cf58eab54742890893203d609198
Autor:
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Amran Hossain, Mohammad Jakir Hossain, Imran Ashraf, Jia Uddin, Md. Abdus Samad
Publikováno v:
IEEE Access, Vol 12, Pp 55744-55756 (2024)
Software defect identification (SDI) is a key part of improving the quality of software projects and lowering the risks that along with maintenance. It does identify the software defect causes that have not been reached yet to get sufficient results.
Externí odkaz:
https://doaj.org/article/89f47ef067fd4850bf84a90afeaee5a1
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 6, Pp 92-97 (2023)
Current defect detection techniques for hydraulic structures at hydropower stations are conducted by inspection robots or divers, facing challenges such as limited inspection methods and the impact of water currents. In response to this, the paper de
Externí odkaz:
https://doaj.org/article/34248d13f69445a4977a41eb93139041
Publikováno v:
Sensors, Vol 24, Iss 15, p 4992 (2024)
Accurate monitoring of steel plate coating thickness is crucial in construction quality control and durability assessments. To address this challenge, this study introduces a terahertz time-domain reflection spectroscopy based on a BP neural network
Externí odkaz:
https://doaj.org/article/cd6b5b7331fc46a3a4418c5f5ced391a
Publikováno v:
Sensors, Vol 24, Iss 13, p 4397 (2024)
Several advantages of directed energy deposition-arc (DED-arc) have garnered considerable research attention including high deposition rates and low costs. However, defects such as discontinuity and pores may occur during the manufacturing process. D
Externí odkaz:
https://doaj.org/article/b7f798443c1747b395ec64119c934f7f
Autor:
Jiaxin Yuan, Xianfeng Zheng, Liwen Peng, Kai Qu, Hao Luo, Liangliang Wei, Jun Jin, Feilong Tan
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 323-332 (2023)
In order to realize the automatic identification of typical defects in transmission lines, a typical defect identification method for transmission lines based on You Only Look Once (YOLO)v5 algorithm is proposed, which has the advantages of low missi
Externí odkaz:
https://doaj.org/article/38dc223c37814261b9c9488f39113e1f
Publikováno v:
Journal of Engineering Studies and Research, Vol 29, Iss 4 (2024)
Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of
Externí odkaz:
https://doaj.org/article/9e98418b902d4b3f8ef5bb9d4b5b9173