Support vector machine for a diesel engine performance and NOx emission control-oriented model

Reduction in emissions, especially NOx has been the main study of various engine researchers in the light of stringent emission norms. To reduce the time and cost involved in testing these technologies, engine thermodynamic cycle predictive tools are used. The present work uses one such predictive tool (GT Power from Gamma Technologies) for predicting the influence of water addition in a turbocharged 6-cylinder diesel engine intake on engine performance and NOx emissions. The experiments for comparison with modeling included the introduction of liquid water in the engine intake stream, between the compressor and intercooler ranging from 0 to 100% of fuel flow rate. NOx emission reduced linearly with water addition with reduction of 63% with less than 1% penalty on fuel efficiency at 100% water addition. The GT Power model predicted the performance within 5% of experimental data and NOx emission within 10% of the experiments.

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Multi-objective online optimization of a marine diesel engine using NSGA-II coupled with enhancing trained support vector machine

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2018.03.080 ◽

2018 ◽

Vol 137 ◽

pp. 218-227 ◽

Cited By ~ 16

Author(s):

Xiaoxiao Niu ◽

Hechun Wang ◽

Song Hu ◽

Chuanlei Yang ◽

Yinyan Wang

Keyword(s):

Support Vector Machine ◽

Diesel Engine ◽

Online Optimization ◽

Support Vector ◽

Marine Diesel Engine ◽

Nsga Ii ◽

Multi Objective ◽

Marine Diesel

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Fault diagnosis of valve clearance in diesel engine based on BP neural network and support vector machine

Transactions of Tianjin University ◽

10.1007/s12209-016-2675-1 ◽

2016 ◽

Vol 22 (6) ◽

pp. 536-543 ◽

Cited By ~ 4

Author(s):

Fengrong Bi ◽

Yiping Liu

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Fault Diagnosis ◽

Diesel Engine ◽

Bp Neural Network ◽

Support Vector

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Modeling NOx emission of coal-fired boiler with differential evolution optimized least square support vector machine

2018 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2018.8407705 ◽

2018 ◽

Cited By ~ 1

Author(s):

Zhenhao Tang ◽

Haiyang Zhang

Keyword(s):

Support Vector Machine ◽

Differential Evolution ◽

Least Square ◽

Nox Emission ◽

Support Vector

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Design and Development of Surge Tank for NOx Emission Reduction in B20 Biofueled Diesel Engine

International Journal of Vehicle Structures and Systems ◽

10.4273/ijvss.12.5.01 ◽

2020 ◽

Vol 12 (5) ◽

Author(s):

Jaspreet Hira ◽

Basant Singh Sikarwar ◽

Rohit Sharma ◽

Vikas Kumar ◽

Prakhar Sharma

Keyword(s):

Diesel Engine ◽

Research Work ◽

Engine Performance ◽

Nox Emission ◽

Intake Manifold ◽

Exhaust Gas ◽

Gas Temperature ◽

Surge Tank ◽

Brake Thermal Efficiency ◽

Exhaust Gas Temperature

In this research work, a surge tank is developed and utilised in the diesel engine for controlling the NOX emission. This surge tank acts as a damper for fluctuations caused by exhaust gases and also an intercooler in reducing the exhaust gas temperature into the diesel engine intake manifold. With the utilisation of the surge tank, the NOX emission level has been reduced to approximately 50%. The developed surge tank is proved to be effective in maintaining the circulation of water at appropriate temperatures. A trade-off has been established between the engine performance parameters including the brake thermal efficiency, brake specific fuel consumption, exhaust gas temperature and all emission parameters including HC and CO.

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