Results 131 to 140 of about 7,244 (206)

Evaluation on the Risk of Water Inrush Due to Roof Bed Separation Based on Improved Set Pair Analysis-Variable Fuzzy Sets. [PDF]

ACS Omega, 2022
Li X, Zhang W, Wang X, Wang Z, Pang C.
europepmc   +1 more source

Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study. [PDF]

ACS Omega, 2021
Liu W, Han M, Meng X, Qin Y.
europepmc   +1 more source

Re-crushing process and non-Darcian seepage characteristics of broken coal medium in coal mine water inrush. [PDF]

Sci Rep, 2021
Pang M, Zhang T, Guo Y, Zhang L.
europepmc   +1 more source

Experimental study on the start-up and transport evolution of mud-sand inrush in mining cracks under K 1/J 2 paleoweathered rock

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
The mechanism of mud-sand inrush during coal mining under paleoweathered rock (PWR) in the K 1/J 2 contact zone of the Ordos Basin is unclear, which seriously restricts the safety production of mines.
Tingen Zhu, Zhenhua Li, Wenping Li, Feng Du, Weiyi Qi, Linxian Gong   +5 more
doaj   +1 more source

Optimal location of water level sensors for monitoring mine water inrush based on the set covering model. [PDF]

Sci Rep, 2021
Wu Q, Du Z, Zhao Y, Xu H, Zhang X.
europepmc   +1 more source

Voltage profile program for the Kennedy Space Center electric power distribution system [PDF]

The Kennedy Space Center voltage profile program computes voltages at all busses greater than 1 Kv in the network under various conditions of load. The computation is based upon power flow principles and utilizes a Newton-Raphson iterative load flow ...

core   +1 more source

Application of Neural Network in Water Source Distinguishing of Mine Water Inrush

Gong-kuang zidonghua, 2011
The paper proposed a method of using improved SOM neural network to distinguish water source of mine water inrush. The method takes seven irons contents of Na+, K+, Ca2+, Mg2+, Cl-, SO2-4 and HCO-3 in water as distinguished factors and combines with improved SOM neural network model to classify 20 samples of water source.
WU Yan, YU Zhi-chao
openaire   +1 more source

Energy shift estimation of demand response activation on domestic refrigerators – A field test study [PDF]

, 2014
Gudmand-Høyer, Kristian, Kosek, Anna Magdalena, Lakshmanan, Venkatachalam, Marinelli, Mattia, Nørgård, Per Bromand   +4 more
core   +1 more source

Research on water inrush early warning of coal seam floor based on naive Bayes classification. [PDF]

Sci Rep
Wang P, Yi X, Wang S.
europepmc   +1 more source

Development of Fault Similar Material for Model Test of Fault Water Inrush Disaster. [PDF]

Materials (Basel)
Li Z, Wang D, Wang K, Zhang Q, Zhang L, Gao Y, Dai Y.   +6 more
europepmc   +1 more source