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Institution

Xi'an University of Science and Technology

EducationXi'an, China
About: Xi'an University of Science and Technology is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Coal & Coal mining. The organization has 10023 authors who have published 7317 publications receiving 51897 citations.


Papers
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Journal ArticleDOI
TL;DR: It is determined that increasing vegetation coverage was the primary factor driving the reductions in sediment loads since 1996 and accounted for 47.7% of the total reduction.

57 citations

Journal ArticleDOI
TL;DR: In this paper, the soybean oil factory sludge (named SOFS) was a solid waste, but preparing it as a denitration catalyst can reduce environmental pollution, and a muffle furnace roasting and plasma roasting methods were selected to prepare MnO/SOFS catalyst with incipient impregnation.

57 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the relationship between the fractal characteristics of the acoustic emission (AE) correlation and the mechanical damage of different ratios of tantalum-niobium tailings CPB materials.

56 citations

Journal ArticleDOI
15 Jul 2021-Energy
TL;DR: In this article, the thermal mass loss characteristics and thermal effects of pre-oxidised coal with the oxidation temperature and oxygen concentration were investigated, and the thermogravimetry (TG) results revealed that the oxidation reaction occurred earlier for the preoxidized coal than for raw coal.

56 citations

Journal ArticleDOI
TL;DR: The opti-state control (OsC) method is proposed to help SPOS keep in an optimal state when uncertainties affect the system and is validated in a large-size paint making company in China.
Abstract: The intelligent manufacturing strategy and customer demand have mutually promoted each other. Also, the production mode is shifting towards customized production, and more rental resources or services are introduced to the production system, therefore, the systems are becoming more complex. Compared with traditional production systems, such systems have some new features, this work calls this type of system as a synchronized production operation system (SPOS). Under such circumstances, production systems are influenced by more frequent uncertainties, and the planning-based production decision and control approach is no longer applicable. The opti-state control (OsC) method is proposed to help SPOS keep in an optimal state when uncertainties affect the system. Besides, a digital twin-based control framework (DTCF) is designed for getting the full element information needed for decision making. Based on the comprehensive information of the production system obtained by the DTCF, the OsC method is introduced to the virtual control layer to formulate the optimal target guiding the path of the system in real time through the dynamic matching mechanism (qualitative perspective). Then multi-stage synchronized control with analysis target cascading (ATC) method is used to get the local optimal state decisions (quantitative perspective). From both qualitative and quantitative aspects to ensure the system is under an optimal target path for optimal operation procedure. At last, a case study in a large-size paint making company in China is used to validate the effectiveness of the approach.

56 citations


Authors

Showing all 10074 results

NameH-indexPapersCitations
Chao Zhang127311984711
Liang Wang98171845600
Chang Liu97109939573
Peter Christie7550126083
Yihe Zhang7357721117
Li Xu6896522024
Feng Zhao6723018384
Shuai Zhang6661620710
Wei Chen6551116573
Zhi-Min Dang6530914651
Liu Chen6434316067
Zhiwu Li5856712633
Yuan Gao5735811659
Yanjun Shen392015878
Bin Su392846222
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022129
20211,202
2020943
2019814
2018535