Zobrazeno 1 - 10
of 325
pro vyhledávání: '"Condition recognition"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 4, Pp 683-688 (2024)
To reduce hydrogen consumption in fuel cell electric vehicles, mitigate power fluctuations, and maintain the battery system's state of charge, a novel transition process recognition method based on work condition recognition framework of energy manag
Externí odkaz:
https://doaj.org/article/60550410994d491db6bbcdb1f9c0b2c4
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 138-148 (2024)
ObjectiveThe dynamic prediction of carbon emission from cold chain distribution is an important basis for the accurate assessment of carbon emission and its green credit grade. Facing the fact that the carbon emission of vehicles is affected by multi
Externí odkaz:
https://doaj.org/article/bd4fe54071b14fb58baaca6bba747710
Autor:
Zhang, Dehai a, Li, Junhui a, Guo, Ningyuan b, Liu, Yonggang c, Shen, Shiquan d, Wei, Fuxing d, Chen, Zheng d, ⁎, Zheng, Jia d, ⁎⁎
Publikováno v:
In Energy 30 December 2024 313
Publikováno v:
Sensors, Vol 24, Iss 23, p 7647 (2024)
Given the urgent challenges posed by global climate change and the ongoing energy crisis, fuel cell electric vehicles (FCEVs) have emerged as a promising solution. Incorporating sophisticated energy management strategies (EMSs) into FCEVs can signifi
Externí odkaz:
https://doaj.org/article/ad9a8f899c79494dacd84d0b08f0e478
Publikováno v:
Buildings, Vol 14, Iss 8, p 2378 (2024)
This paper applied the prevalent acoustic emission (AE) technology to identify the damage modes and critical conditions for FRP/steel-concrete composite beams during the failure process. AE signals generated by the structural damages were classified
Externí odkaz:
https://doaj.org/article/aeb068d5cbf54daaaddfab6f485fc603
Autor:
Villa, Eugenia a, ⁎, Leoni, Jessica a, Cazzulani, Gabriele a, Baldi, Andrea b, Mariani, Ugo b, Tanelli, Mara a
Publikováno v:
In Expert Systems With Applications 1 April 2025 267
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26436- (2024)
Effectively utilizing information from multiple sources and fewer labeled operating condition samples from a sucker-rod pumping system for oil production can improve the recognition effects and engineering practicability. Nevertheless, this is a chal
Externí odkaz:
https://doaj.org/article/8e2ba6c66ccc4cb1b78d19cfcc615d78
Publikováno v:
Agriculture, Vol 14, Iss 4, p 584 (2024)
Tractor condition recognition has important research value in helping to understand the operating status of tractors and the trend of tillage depth changes in the field. Therefore, this article presents a method for recognizing tractor conditions, pr
Externí odkaz:
https://doaj.org/article/311bc31453e4437a8e3eeb0afbe8a76d
Publikováno v:
Systems Science & Control Engineering, Vol 11, Iss 1 (2023)
When the gas pipeline leaks, it causes huge economic losses. This paper establishes a digital twin model of a pipeline based on the pressure signal generated by a pipeline leak and researches on pipeline leak detection. First, an online updating of t
Externí odkaz:
https://doaj.org/article/08bec7d8785e406bb8b493a1e047cb63
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1119 (2024)
Recent advances in artificial intelligence (AI) technologies such as deep learning open up new opportunities for various industries, such as cement manufacturing, to transition from traditional human-aided manually controlled production processes to
Externí odkaz:
https://doaj.org/article/33efa26ac835476fbb5b66e2edb775ff