Zobrazeno 1 - 10
of 2 647
pro vyhledávání: '"Data Acquisition System"'
Autor:
Yang LI, Lijun XU, Yuntao LIU, Baoji ZHU, Yuhe ZHANG, Qi JIN, Zongzheng ZHOU, Yuanqiao LI, Min LIN, Lijie HAO, Hongliang WANG, Shichun JIN
Publikováno v:
Journal of Isotopes, Vol 37, Iss 5, Pp 463-471 (2024)
Metallic magnetic calorimeters are a class of low-temperature particle detectors based on calorimetry，utilizing metallic paramagnetic temperature sensors to convert the temperature rise of an absorber upon the absorption of incident particle energy
Externí odkaz:
https://doaj.org/article/4bfdecbf640242fa9da92c7735e98d32
Autor:
Guy M. Toche Tchio, Joseph Kenfack, Joseph Voufo, Yves Abessolo Mindzie, Blaise Fouedjou Njoya, Sanoussi S. Ouro-Djobo
Publikováno v:
AIMS Energy, Vol 12, Iss 4, Pp 727-750 (2024)
The application of machine learning techniques for monitoring and diagnosing faults in photovoltaic (PV) systems has been shown to enhance the reliability of PV power generation. This research introduced a novel machine learning classifier for fault
Externí odkaz:
https://doaj.org/article/5e66bd6552f64d60b8e4feee1051eff5
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Owing to the continuous usage of centrifugal pump machines (CPM), health-monitoring systems are important for improving the hydraulic machine industry. While operating the CPM, supervision is carried out by either the operator or the online health-mo
Externí odkaz:
https://doaj.org/article/c65abb9f015d4ae68b31f1367ffbfdd4
Autor:
Daniel Pinardi, Luca Arpa, Andrea Toscani, Elisabetta Manconi, Marco Binelli, Emiliano Mucchi
Publikováno v:
IEEE Access, Vol 12, Pp 98121-98129 (2024)
A novel data acquisition system for condition monitoring and predictive maintenance of mechanical parts, machinery, and industrial plants is presented. Current commercial solutions rely on an analog architecture and a star topology, in which all tran
Externí odkaz:
https://doaj.org/article/9a17af20986a452e82396746dacd1dbc
Autor:
Srivastava, Shekhar, Garg, Rajiv Kumar, Sachdeva, Anish, Sharma, Vishal S., Singh, Sehijpal, Gupta, Munish Kumar
Publikováno v:
Rapid Prototyping Journal, 2023, Vol. 29, Issue 10, pp. 2001-2018.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-01-2023-0032
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIndoor agriculture, especially plant factories, becomes essential because of the advantages of cultivating crops yearly to address global food shortages. Plant factories have been growing in scale as commercialized. Developing an on-site
Externí odkaz:
https://doaj.org/article/ab2e9ac1fd614a1a92e8653f1f525938
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 2539-52 (2023)
Externí odkaz:
https://doaj.org/article/22486a47ab2b4c729e6db56af1284566
Publikováno v:
International Journal of Thermofluids, Vol 21, Iss , Pp 100536- (2024)
Detecting and isolating power grid faults quickly and efficiently ensures a constant power flow. The lack of speed and accuracy in conventional approaches to fault management highlights the importance of creating a smart decision model. The suggested
Externí odkaz:
https://doaj.org/article/b2420564a33a4c18aebd34ce08e9a4d6
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5553 (2024)
When operating solar–wind power plants (SWPPs) located in populated areas, cases of premature failure of expensive batteries and other power equipment often occur. The purpose of this study is to develop a wireless data acquisition system (DAS) for
Externí odkaz:
https://doaj.org/article/47c3968e1778409e9434c8afff291114
Autor:
Seyed Matin Malakouti
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 8, Iss , Pp 100351- (2023)
This research used machine-learning-based forecasting models to estimate a Supervisory control and data acquisition system's wind speed and electricity production. Six machine-learning algorithms were used to anticipate wind speed and electricity gen
Externí odkaz:
https://doaj.org/article/4eda3397f54e496bad459da179aa7de2