Research on In-Cylinder Pressure Monitoring Method of Diesel Engine Based on LSTM
Source abstract
Abstract
The variation in in-cylinder pressure of diesel engine directly determines its working performance; therefore, the real-time monitoring technology for in-cylinder pressure of diesel engine is of great significance for monitoring the operation status of diesel engine. However, restricted by factors such as technology and cost, it is often impossible to monitor the in-cylinder pressure data of diesel engine during actual operation. To solve the above problem, this paper proposes an in-cylinder pressure curve monitoring model for diesel engine based on GRU (Gated Recurrent Unit), using easily collectible data signals such as crankshaft torque, crankshaft angle, and displacement of each cylinder as the basis. The correctness and accuracy of the above monitoring model are trained and verified using data obtained from bench tests, and a comparison is made with the commonly used in-cylinder pressure monitoring method based on simulation model. The results show that the diesel engine in-cylinder pressure monitoring model proposed in this paper has advantages such as high monitoring accuracy and fast calculation speed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Machine Fault Diagnosis Techniques · Hydraulic and Pneumatic Systems · Advanced Combustion Engine Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
School of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, China
Funding
Applied Basic Research Programs of Shanxi Province in China
References (31)
Show source-provided references
1. Correlation between Emission and Combustion Characteristics with the Compression Ratio and Fuel Injection Timing in Tribologically Optimized Diesel Engine
2. Cylinder Pressure Identification Based on Local Tangent Space Alignment and Least Squares Support Vector Machine
3. Research on Cylinder Pressure Identification Method of Diesel Engine Under Multiple Operating Conditions Based on Cylinder Head Vibration Signal
4. Research on Cylinder Pressure Identification Method Based on Cylinder Head Vibration Signal
5. Liu, S.X.R. (2013). Research on Diesel Engine In-Cylinder Pressure Identification Method Based on Cylinder Head Vibration Signal. [Master’s Thesis, Harbin Engineering University].
6. Research on Cylinder Pressure Identification Based on Time-domain Characteristics of Cylinder Head Vibration Signal
7. Chen, B. (2009). Research on Gas Pressure Reconstruction Method Based on Cyclostationary Characteristics of Diesel Engine. [Master’s Thesis, Wuhan University of Technology].
8. Yang, Y.F. (2022). Research on Prediction of Vibration and Noise of Diesel Engine Considering the Influence of Component Joint Surface Connection Characteristics. [Master’s Thesis, Harbin Engineering University].
9. Diesel Engine Cylinder Pressure Identification Based on Transfer Function Method
10. Yao, J.J., Xiang, Y., and Zhou, Y. (2006). Diesel Engine Cylinder Pressure Identification Based on Cepstrum Method. Shipp. Eng., 37–39.
11. Diesel Engine Cylinder Pressure Identification Based on Wavelet Analysis and Time Series Analysis
12. Gas Pressure Identification Based on Wavelet Analysis and ARMA Model
13. Diesel Engine Cylinder Pressure Reconstruction Based on BP Neural Network
14. Multicomponent fault diagnosis of rotational mechanical system based on decision tree and support vector machine10.1016/j.eswa.2010.09.042 ↗
15. Nonlinear System Identification Based on Support Vector Machine
16. Remaining Life Prediction of Rolling Bearings Based on Relative Features and Multivariate Support Vector Machine10.3901/JME.2013.02.183 ↗
17. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment10.1137/S1064827502419154 ↗
18. Suykens, K., Gestel, V., Brabanter, D., Moor, D., and Vandewalle, J. (2002). Least Squares Support Vector Machines, World Scientific Publishing Company.10.1142/9789812776655 ↗
19. Wang, L. (2013). Research on Several Methods of Rolling Bearing Fault Diagnosis Based on Manifold Learning. [Ph.D. Thesis, Dalian University of Technology].
20. Application of the PSO-SVM model for recognition of control chart patterns10.1016/j.isatra.2010.06.005 ↗
21. Diesel Injector Coking: Optical-Chemical Analysis of Deposits and Influence on Injected Flow-Rate, Fuel Spray and Engine Performance
22. Effects of Partial Pre-Decomposition of Ammonia Fuel on Combustion and Greenhouse Gas Emissions in a Pre-Chamber Jet Ignition Ammonia Engine
23. The Influence of Lightweight Bearings on the Mechanical Efficiency of Turbochargers and the Acceleration Performance of Engines
24. Liu, K., and Liu, X. (2023). Study on Mechanical Fatigue Damage and Reliability of Internal Combustion Engine Piston. Intern. Combust. Engine Parts, 44–46.
25. Zhang, N. (2020). Analysis of Causes and Prevention of Internal Combustion Engine Cylinder Wear. Intern. Combust. Engine Parts, 48–50.
26. Experimental Study and Analysis on Torsional Fatigue Strength of Internal Combustion Engine Crankshaft
27. Numerical-experimental study and solutions to reduce the dwell-time threshold for fusion-free consecutive injection in a multijet solenoid-type CR system10.1115/1.2938394 ↗
28. Nonlinear modelling and control of a common rail injection system for diesel10.1016/j.apm.2006.06.001 ↗
29. Study on Drying Moisture Content Prediction Based on LSTM Neural Network
30. Dynamic Prediction of COVID-19 with the Extended SEIR-LSTM Model: A Case Study of Tokyo in 2022
31. Li, L., and Su, T. (2021). Research on a small sample fault diagnosis method for a high-pressure common rail system. Adv. Mech. Eng., 13.10.1177/16878140211046103 ↗