相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network
Zhezhe Han et al.
APPLIED ENERGY (2020)
Adaptive LSSVM based iterative prediction method for NOx concentration prediction in coal-fired power plant considering system delay
Yongjie Zhai et al.
APPLIED SOFT COMPUTING (2020)
Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks
Dengji Zhou et al.
ENERGY (2020)
Pattern recognition for measuring the flame stability of gas-fired combustion based on the image processing technology
Yu Wang et al.
FUEL (2020)
Image-based process monitoring using deep learning framework
Yuting Lyu et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor
Xiaobin Zhu et al.
ACTA ASTRONAUTICA (2019)
An Unsupervised Classification Method for Flame Image of Pulverized Coal Combustion Based on Convolutional Auto-Encoder and Hidden Markov Model
Tian Qiu et al.
ENERGIES (2019)
The multi-objective optimization of combustion system operations based on deep data-driven models
Zhenhao Tang et al.
ENERGY (2019)
Machine learning for locating organic matter and pores in scanning electron microscopy images of organic-rich shales
Yaokun Wu et al.
FUEL (2019)
Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network
Yu He et al.
OPTICS AND LASERS IN ENGINEERING (2019)
Development of a vision-based soft sensor for estimating equivalence ratio and major species concentration in entrained flow biomass gasification reactors
Yngve Ogren et al.
APPLIED ENERGY (2018)
A random forest approach for predicting coal spontaneous combustion
Changkui Lei et al.
FUEL (2018)
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes
Jinyang Jiao et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Multi-level wavelet packet fusion in dynamic ensemble convolutional neural network for fault diagnosis
Yan Han et al.
MEASUREMENT (2018)
An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition
Zirui Wang et al.
NEUROCOMPUTING (2018)
Recent advances in convolutional neural networks
Jiuxiang Gu et al.
PATTERN RECOGNITION (2018)
Screening Fuels for Autoignition with Small-Volume Experiments and Gaussian Process Classification
Spencer Lunderman et al.
ENERGY & FUELS (2018)
Study on influencing factors of prediction accuracy of support vector machine (SVM) model for NOx emission of a hydrogen enriched compressed natural gas engine
Hao Duan et al.
FUEL (2018)
Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks
Han Liu et al.
NEUROCOMPUTING (2018)
Combustion Regime Monitoring by Flame Imaging and Machine Learning
S. S. Abdurakipov et al.
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING (2018)
Deep learning based monitoring of furnace combustion state and measurement of heat release rate
Zhenyu Wang et al.
ENERGY (2017)
Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN
Yi Liu et al.
ENERGY & FUELS (2017)
Multi-mode combustion process monitoring on a pulverised fuel combustion test facility based on flame imaging and random weight network techniques
Xiaojing Bai et al.
FUEL (2017)
Image-based deep neural network prediction of the heat output of a step-grate biomass boiler
Pal Toth et al.
APPLIED ENERGY (2017)
A Gaussian process regression based hybrid approach for short-term wind speed prediction
Chi Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
Wenjun Sun et al.
MEASUREMENT (2016)
Impact of OFA on combustion and NOx emissions of a large-scale laboratory furnace fired by a heavy-oil swirl burner
Hao Zhou et al.
APPLIED THERMAL ENGINEERING (2015)
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
Qi Qian et al.
MACHINE LEARNING (2015)
Support vector machine based online coal identification through advanced flame monitoring
Hao Zhou et al.
FUEL (2014)
Gaussian process regression based optimal design of combustion systems using flame images
Junghui Chen et al.
APPLIED ENERGY (2013)
Multi-step-ahead prediction of NOx emissions for a coal-based boiler
J. Smrekar et al.
APPLIED ENERGY (2013)
Condition Monitoring of Combustion Processes Through Flame Imaging and Kernel Principal Component Analysis
Duo Sun et al.
COMBUSTION SCIENCE AND TECHNOLOGY (2013)
Artificial neural network prediction of exhaust emissions and flame temperature in LPG (liquefied petroleum gas) fueled low swirl burner
Bamiji Z. Adewole et al.
ENERGY (2013)
Characterization of PF flames under different swirl conditions based on visualization systems
A. Gonzalez-Cencerrado et al.
FUEL (2013)
Coal flame characterization by means of digital image processing in a semi-industrial scale PF swirl burner
A. Gonzalez-Cencerrado et al.
APPLIED ENERGY (2012)
Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral
Weitao Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2012)
Artificial neural networks for analysis of process states in fluidized bed combustion
M. Liukkonen et al.
ENERGY (2011)
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
Concha Bielza et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Monitoring combustion systems using HMM probabilistic reasoning in dynamic flame images
Junghui Chen et al.
APPLIED ENERGY (2010)
Particle swarm optimization for redundant building cooling heating and power system
Jiangjiang Wang et al.
APPLIED ENERGY (2010)
Diagnostic techniques for the monitoring and control of practical flames
Javier Ballester et al.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2010)
Flame imaging as a diagnostic tool for industrial combustion
R. Hernandez et al.
COMBUSTION AND FLAME (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)
A digital imaging based multifunctional flame monitoring system
G Lu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2004)
Monitoring and characterisation of pulverised coal flames using digital imaging techniques
Y Yan et al.
FUEL (2002)