Results 21 to 30 of about 2,931,829 (352)
Fault Diagnosis Algorithm of Beam Pumping Unit Based on Transfer Learning and DenseNet Model
Applied Sciences, 2022 The difficulty of collecting fault data samples is one of the application problems of the deep learning method in fault diagnosis of mechanical production; the second is that when the depth of the learning network increases, the network accuracy is ...
Yu Wu +4 more
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Venn Diagrams May Indicate Erroneous Statistical Reasoning in Transcriptomics [PDF]
Frontiers in Genetics, 2022 A common application of differential expression analysis is finding genes that are differentially expressed upon treatment in only one out of several groups of samples. One of the approaches is to test for significant difference in expression between treatment and control separately in the two groups, and then select genes that show statistical ...
Weiner 3rd, January +2 more
openaire +3 more sources
Assessing the Suitability of DME for Powering SI Engines by Analyzing In-Cylinder Pressure Change
Sensors, 2022 This article discusses an analysis of in-cylinder pressure change during combustion of LPG-DME fuel in IC engines. The aim of the study is to present a method for assessing the possibility of using DME as a combustion activator, and to establish its ...
Paweł Fabiś
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Analysis of the application of jet pumps in the field development in Western Siberia
Известия высших учебных заведений: Нефть и газ, 2020 Currently, the use of jet devices in the oil and gas industry is constantly expanding. The reason for this expansion in the oil and gas industry is the presence of a number of advantages.
G. A. Shlein +3 more
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Determination of polytropic indicators of schematized working processes of air piston slow-moving long-stroke compressor stages [PDF]
Омский научный вестник: Серия "Авиационно-ракетное и энергетическое машиностроение", 2020 Experimental studies of low-speed long-stroke compressor stages using the example of working fluid — air made it possible to determine such parameters of a schematized working process as polytropes of compression and reverse expansion. These parameters,
V. L. Yusha, S. S. Busarov
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Well Production Real-Time Intelligent Monitoring Based on Convolutional Neural Network
Improved Oil and Gas Recovery, 2019 Based on the theory of deep learning, this paper proposes the use of convolution neural network (CNN) method to identify the working condition of pumping unit of an oil well by indicator diagram. The structure and principle of CNN are introduced, and the
Zhen Wang +4 more
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Alexandria Engineering Journal, 2023 As the smart oilfield has grown, various deep learning technologies are being utilized to recognize the graphic feature of the indicator diagram in order to detect the fault type of rod pump system, so as to maintain the oilfield's regular production ...
Juanni Li +3 more
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An extremal problem for a class of entire functions of exponential type [PDF]
, 2008 We find the exact upper estimate for the upper density of zeros of entire functions of exponential type whose indicator diagram is contained in a given interval.Comment: 7 pages, 1 ...
Eremenko, Alexandre, Yuditskii, Peter
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Very General Holographic Superconductors and Entanglement Thermodynamics [PDF]
, 2014 We construct and analyze holographic superconductors with generalized higher derivative couplings, in single R-charged black hole backgrounds in four and five dimensions.
Dey, Anshuman +2 more
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New distances to RAVE stars [PDF]
, 2013 Probability density functions are determined from new stellar parameters for the distance moduli of stars for which the RAdial Velocity Experiment (RAVE) has obtained spectra with S/N>=10.
Bienaymé, O. +19 more
core +5 more sources