Modeling and optimization of a light-duty diesel engine at high altitude with a support vector machine and a genetic algorithm

Wang, Jun; Shen, Lizhong; Bi, Yuhua; Lei, Jilin

doi:10.1016/j.fuel.2020.119137

Cited by 37 publications

(18 citation statements)

References 40 publications

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“…Support vector machine is often applied to machine learning in the case of small samples [26]. Support vector machine uses the optimization method to obtain the global optimal solution, effectively avoiding local optimization and overlearning [27], which can be applied to regression and classification problems.…”

Section: Teaching Planningmentioning

confidence: 99%

Teaching Quality Evaluation Model of a Flipped Classroom in Colleges and Universities Based on Support Vector Machine

Li²

2022

Wireless Communications and Mobile Computing

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The systematic evaluation of teaching quality in colleges and universities is an important factor, which makes the systematic evaluation of teaching quality in colleges and universities very complex and makes the systematic evaluation of teaching quality in colleges and universities unable to describe a variety of teaching quality directly or indirectly. Therefore, a quality evaluation model of flipped classroom teaching in colleges and universities based on support vector machine is proposed. Through the selection of teaching quality evaluation indicators from three aspects of experts, teachers, and students, the evaluation system of flipped classroom teaching quality in colleges and universities is established. The evaluation indicators are used as the input of support vector machine for learning, and the evaluation model of flipped classroom teaching quality in colleges and universities is established. The experimental results show that this method can effectively evaluate the quality of flipped classroom teaching in colleges and universities, the relative error of the evaluation results is low, and it has certain practicability.

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Section: Teaching Planningmentioning

confidence: 99%

Teaching Quality Evaluation Model of a Flipped Classroom in Colleges and Universities Based on Support Vector Machine

Li²

2022

Wireless Communications and Mobile Computing

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“…The SVM is also sensitive to noisy feature vectors. The description of the SVM classifier can be found in papers [ 37 , 38 , 39 ].…”

Section: Analyzed States Of the Angle Grindermentioning

confidence: 99%

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Głowacz

2021

Sensors

148

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The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR image processing. An innovative method called BCAoMID-F (Binarized Common Areas of Maximum Image Differences—Fusion) is proposed in this paper. This method is used to extract features of thermal images of three angle grinders. The computed features are 1-element or 256-element vectors. Feature vectors are the sum of pixels of matrix V or PCA of matrix V or histogram of matrix V. Three different cases of thermal images were considered: healthy angle grinder, angle grinder with 1 blocked air inlet, angle grinder with 2 blocked air inlets. The classification of feature vectors was carried out using two classifiers: Support Vector Machine and Nearest Neighbor. Total recognition efficiency for 3 classes (TRAG) was in the range of 98.5–100%. The presented technique is efficient for fault diagnosis of electrical devices and electric power tools.

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“…There are many plateau regions in Latin America with high altitude up to 1,000 m above the sea level. In China, most of the cities are located at high altitude (>1,500 m) and have very high traffic density with high road grades (Wang et al, 2021). Consequently, there are many vehicles, agricultural and construction facilities, military equipment are working in these plateau areas indicate the need to concern engines operating at high altitudes.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on effects of fuel injection and intake parameters on combustion and performance of a turbocharged diesel engine at different altitudes

Wan

Huang²,

Shen³

et al. 2023

Front. Energy Res.

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Matching characteristics between fuel injection and intake control parameters significantly affect overall performances in diesel engine at variable altitudes. Prior to optimizing the control parameters of diesel engines operating at high altitudes areas, there is a necessity to identify the influence law of fuel injection and intake parameters on engine performance. This study focused on the effects of main injection timing (MIT), fuel injection pressure (FIP), EGR rate, and variable nozzle turbocharger (VNT) opening on the combustion, performances and NOx and smoke emissions in a turbocharged diesel engine at different altitudes (2000, 1,000, and 0 m). Strategies for optimization of engine performance and the coupling relationship between these parameters were analyzed. The results showed that as the altitude increased from 0 m to 2000 m, the engine torque dropped by 2.9%, the BSFC increased by 2.6%, the NOx emissions reduced by 11.8%, and the opacity smoke increased by 26.2%. The effects of MIT, FIP, EGR rate and VNT opening on engine performances were more significant at high altitudes. As the MIT was advanced at 2000 m altitude, the engine torque increased by 5.6%, the BSFC reduced by 5.9%, the opacity smoke decreased by 55%, while the NOx emissions increased by 54%%. Advance the injection timing properly can overcome the altitude effect on engine power. With the FIP increased from 105 to 130 MPa at 2000 m, the engine torque reduced by 1.7%, the BSFC increased by 1.6%, the opacity smoke dropped by 44.5%, and the NOx emissions increased by 17.5%. When the EGR rate increases by 5%, the NOx emission reduces by 16.4%,17.9 and 21.9 respectively at 0, 1,000 and 2000 m altitude. The EGR rate should be properly reduced to obtain the recovery of engine power at plateau. As the VNT vane opening decreased from 40% to 20%, the NOx emission increase by 9.4% and 9.9% at 0 m and 1,000 m respectively, and it reduces by 3.9% at 2000 m, while the opacity smoke reduces by 38.9% at different altitudes. The optimization of VNT vane opening requires a balance between combustion performance and pumping losses. The multi-objective collaborative optimization technique should be applied to optimize these parameters to help improve engine efficiency and emissions at high altitudes.

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Modeling and optimization of a light-duty diesel engine at high altitude with a support vector machine and a genetic algorithm

Cited by 37 publications

References 40 publications

Teaching Quality Evaluation Model of a Flipped Classroom in Colleges and Universities Based on Support Vector Machine

Teaching Quality Evaluation Model of a Flipped Classroom in Colleges and Universities Based on Support Vector Machine

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Experimental investigation on effects of fuel injection and intake parameters on combustion and performance of a turbocharged diesel engine at different altitudes

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