Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dinh Anh Tuan Tran"'
Publikováno v:
Research in Agricultural Engineering, Vol 69, Iss 3, Pp 143-150 (2023)
In this study, the drying of bitter gourd slices with a halogen dryer was done at different thicknesses of bitter gourd (3, 5, and 7 mm) and temperatures (60, 65, and 70 °C). The effect of varying drying characteristics in the experiment was explore
Externí odkaz:
https://doaj.org/article/594d2e37ff564dc18b7121289eccac31
Publikováno v:
Brazilian Journal of Food Technology, Vol 26 (2023)
Abstract The influence of various drying characteristics in the experiment was explored in this study. The drying time and moisture content were used to evaluate the experimental outcomes. The drying of bitter gourd slices using a halogen dryer was d
Externí odkaz:
https://doaj.org/article/aee0cebf430444f2a2f26a3c2d6f45e2
Publikováno v:
International Journal of Automotive Engineering, Vol 11, Iss 1, Pp 9-13 (2020)
Accurate and incipient fault detection of air conditioning systems is highly demanded in a car to prevent energy waste and high maintenance cost. However, most fault detection techniques require experiences of drivers which are usually unavailable. I
Externí odkaz:
https://doaj.org/article/14ca6c9146284ec7a9b4b1c847377de0
Publikováno v:
International Journal of Automotive Engineering. 11:9-13
Publikováno v:
Energy and Buildings. 133:246-256
A successful fault detection and diagnosis (FDD) strategy for chillers is highly dependent on three core aspects, an accurate reference model, a sensitive fault detection technique and an effective fault identification method. An accurate model plays
Publikováno v:
International Journal of Refrigeration. 72:81-96
Development of the fault detection and diagnosis (FDD) for chiller systems is very important for improving the equipment reliability and saving energy consumption. The results of FDD performance are strongly dependent on the accuracy of chiller model
Publikováno v:
Energy and Buildings. 108:441-453
The fault detection and diagnosis (FDD) of centrifugal chillers is always a complex difficulty in HVAC systems. This paper develops an online fault detection and diagnosis strategy based on non-linear radial basis function (RBF) to online detect and
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