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。Random Forest Machine Learning Model for Predicting Combustion Feedback Information of a Natural Gas Spark Ignition Engine
Jinlong Liu et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2021)
Experimental investigation of iso-butanol/diesel reactivity controlled compression ignition combustion in a non-road diesel engine
Duraisamy Ganesh et al.
APPLIED ENERGY (2019)
Single and double Wiebe function combustion model for a heavy-duty diesel engine retrofitted to natural-gas spark-ignition
Jinlong Liu et al.
APPLIED ENERGY (2019)
Developing a model to predict the start of combustion in HCCI engine using ANN-GA approach
M. Taghavi et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Comparing different supervised machine learning algorithms for disease prediction
Shahadat Uddin et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
Modeling and Control of Combustion Phasing in Dual-Fuel Compression Ignition Engines
Wenbo Sui et al.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME (2019)
An improvement of a lean burning condition of natural gas/diesel RCCI engine with a pre-chamber by using hydrogen
Alireza Kakoee et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Kinetics of autoignition: a simple intuitive interpretation and its relation to the Livengood-Wu integral
Akira Miyoshi
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2018)
Random forest regression prediction of solid particle Erosion in elbows
Peyman Zahedi et al.
POWDER TECHNOLOGY (2018)
Dynamic modeling and model predictive control of an RCCI engine
A. Raut et al.
CONTROL ENGINEERING PRACTICE (2018)
A combustion phasing control-oriented model applied to an RCCI engine
C. Guardiola et al.
IFAC PAPERSONLINE (2018)
Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?
Frank Willems
IFAC PAPERSONLINE (2018)
Real-time modeling of ringing in HCCI engines using artificial neural networks
Bahram Bahri et al.
ENERGY (2017)
Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
Muhammad Waseem Ahmad et al.
ENERGY AND BUILDINGS (2017)
Evolution, challenges and path forward for low temperature combustion engines
Avinash Kumar Agarwal et al.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2017)
Burnt fraction sensitivity analysis and 0-D modelling of common rail diesel engine using Wiebe function
Song Hu et al.
APPLIED THERMAL ENGINEERING (2017)
Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses
Charudatta M. Kshirsagar et al.
APPLIED ENERGY (2017)
Modeling of combustion phasing of a reactivity-controlled compression ignition engine for control applications
Kaveh Khodadadi Sadabadi et al.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2016)
An ELM based predictive control method for HCCI engines
Vijay Manikandan Janakiraman et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)
Robust Multivariable Feedback Control of Natural Gas-Diesel RCCI Combustion
Armando Indrajuana et al.
IFAC PAPERSONLINE (2016)
Real-time internal residual mass estimation for combustion with high cyclic variability
J. Larimore et al.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2015)
Control-oriented residual gas mass prediction for spark ignition engines
Shu Wang et al.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2015)
Cycle-to-cycle modeling and sliding mode control of blended-fuel HCCI engine
M. Bidarvatan et al.
CONTROL ENGINEERING PRACTICE (2014)
The role of the in-cylinder gas temperature and oxygen concentration over low load reactivity controlled compression ignition combustion efficiency
Jose M. Desantes et al.
ENERGY (2014)
Advanced closed loop combustion control of a LTC diesel engine based on in-cylinder pressure signals
A. P. Carlucci et al.
ENERGY CONVERSION AND MANAGEMENT (2014)
Gray-Box Modeling for Performance Control of an HCCI Engine With Blended Fuels
M. Bidarvatan et al.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME (2014)
Experiments and zero D modeling studies using specific Wiebe coefficients for producer gas as fuel in spark-ignited engines
Anand M. Shivapuji et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2013)
Understanding the Dynamic Evolution of Cyclic Variability at the Operating Limits of HCCI Engines with Negative Valve Overlap
Erik Hellstrom et al.
SAE INTERNATIONAL JOURNAL OF ENGINES (2012)
Estimation of double-Wiebe function parameters using least square method for burn durations of ethanol-gasoline blends in spark ignition engine over variable compression ratios and EGR levels
Yeliana Yeliana et al.
APPLIED THERMAL ENGINEERING (2011)
Review of the development and applications of the Wiebe function: a tribute to the contribution of Ivan Wiebe to engine research
J. I. Ghojel
INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2010)
Double-Wiebe function: An approach for single-zone HCCI engine modeling
H. Yasar et al.
APPLIED THERMAL ENGINEERING (2008)
Newer classification and regression tree techniques: Bagging and random forests for ecological prediction
AM Prasad et al.
ECOSYSTEMS (2006)
Fast prediction of start-of-cornbustion in HCCI with combined artificial neural networks and ignition delay model
Y Choi et al.
PROCEEDINGS OF THE COMBUSTION INSTITUTE (2005)