scholarly journals Vehicle diagnostic system of the car engine

2021 ◽  
Vol 351 ◽  
pp. 01014
Author(s):  
Roman Zinko ◽  
Oleh Polishchuk ◽  
Ewa Kuliś
Keyword(s):  
Combustion Engine ◽  
Diagnostic System ◽  
The Self ◽  
Intelligent Environment ◽  
Engine Vibration ◽  
Vibroacoustic Signal ◽  
Onboard Computer ◽  
Constant Control ◽  
Vibroacoustic Diagnostics ◽  
Normalized Parameters

Support of the established technical characteristics of engines is reached by its regular service and diagnostics in particular - existence of the diagnostic programs built in the onboard computer of the car which carry out constant control of the main parameters of the engine.Based on the algorithm of vibroacoustic diagnostics, a system of vibration and vibroacoustic diagnostics of the internal combustion engine (ICE) is proposed, which can be integrated into the intelligent environment of self - diagnostics of the car (Check - Engine). The algorithm takes into account the normalized parameters and criteria for assessing the vibration state: the absolute values of displacements, velocities and accelerations and their changes.For the self-diagnostic system, it is important to develop a classifier of engine states also to determine and / or predict the failure of its parts or units. Engine vibrations can be attributed to the following types: imbalance of the 1st and 2nd order of the engine; vibration associated with combustion in the engine; auxiliary units.The analysis of a vibroacoustic signal at work of the serviceable and faulty engine is carried out, influence of various elements of a design, placement of the gauge in horizontal and vertical directions is shown on it.

scholarly journals A Study on Development of Engine Fault Diagnostic System

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Hwa-seon Kim ◽  
Seong-jin Jang ◽  
Jong-wook Jang
Keyword(s):  
Data Transmission ◽  
Diagnostic System ◽  
The Self ◽  
System Management ◽  
Diagnostic Code ◽  
Quick Response ◽  
System A ◽  
Message Structure ◽  
To Receive ◽  
Engine Condition

This study implemented a mobile diagnosing system that provides user-centered interfaces for more precisely estimating and diagnosing engine conditions through communications with the self-developed ECU only for industrial CRDI engine use. For the implemented system, a new protocol was designed and applied based on OBD-II standard to receive engine data values of the developed ECU. The designed protocol consists of a message structure to request data transmission from a smartphone to ECU and a response message structure for ECU to send data to a smartphone. It transmits 31 pieces of engine condition information simultaneously and sends the trouble diagnostic code. Because the diagnostic system enables real-time communication through modules, the engine condition information can be checked at any time. Thus, because when troubles take place on the engine, users can check them right away, quick response and resolution are possible, and stable system management can be expected.

Knowledge-Based Fault Diagnostic System Using Binary Fault Tree

2013 ◽  
Vol 333-335 ◽  
pp. 1752-1757
Author(s):  
Huan Liang Li ◽  
Xiao Qiang Yang ◽  
Jin Xing Shen ◽  
Liu Hai Chen
Keyword(s):  
Fault Diagnosis ◽  
Combustion Engine ◽  
New Technology ◽  
Fault Tree ◽  
Diagnostic System ◽  
System Structure ◽  
Analysis Model ◽  
Knowledge Based ◽  
Practical Tool ◽  
Hierarchy Process

For the improvement of reliability, safety and efficiency advanced methods of fault diagnosis, new technology and method such as expert system become increasingly important for many kinds of fault diagnosis. Thereby, the classification principle of system structure is used to build the hierarchical analysis model of combustion engine. The model is converted to binary fault tree by means of Fault Tree Analytical Method (FTA). Meanwhile, the knowledge base is constructed with production rule and frame representation. Fault diagnosis system is designed on the thought of analytical hierarchy process. Its development is accomplished by Delphi 7.0 language. The work has offered a simple and practical tool to users and brings great convenience to engineering corps.

scholarly journals Experimental method for the selection of points of measurement diagnostic vibration signals on internal combustion engine

2012 ◽  
Vol 150 (3) ◽  
pp. 72-79
Author(s):  
Grzegorz SZYMAŃSKI ◽  
Franciszek TOMASZEWSKI
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Diagnostic Testing ◽  
Internal Combustion ◽  
Test Point ◽  
Diagnostic Methods ◽  
Essential Information ◽  
Vibroacoustic Diagnostics ◽  
Selection Of ◽  
Working Processes

The diagnostic testing of internal combustion engine can be made by using working processes and methods which take advantage of leftover processes. Working processes give information about general condition of internal combustion engine. Leftover processes give information about condition of particular subassemblies and kinematic couples; hence they are used as autonomous processes or as processes supporting other diagnostic methods. Methods based on analysis of vibrations and noise changes to determine technical condition of object are named as vibroacoustic diagnostics. In papers about vibroacoustic diagnostics of engine, problems connected with difficulty to select test point and to define diagnostic parameters containing essential information about engine’s condition, are most often omitted. Selection of engine’s working parameters and conditions of taking measurements or recording vibration signal are usually based on references, researcher’s experience or intuition. General assumptions about taking measurements of signal closest to its source are most often used. This paper presents a new approach to vibroacoustic diagnostics of internal combustion engine. Selection of test points of vibration on the basis of impact tests results was suggested and performed a sensitivity analysis of measurement points on the cylinder head, the force impulse.

The Time-Frequency Analysis Method Based on EMD White Noise Energy Density Distribution Characteristics of the Internal Combustion Engine Vibration

2013 ◽  
Vol 328 ◽  
pp. 367-375 ◽  
Author(s):  
Guo Yan Feng ◽  
Yan Ping Cai ◽  
Yan Ping He
Keyword(s):  
Energy Density ◽  
Internal Combustion Engine ◽  
White Noise ◽  
Combustion Engine ◽  
Vibration Signal ◽  
Internal Combustion ◽  
Distribution Characteristics ◽  
Energy Density Distribution ◽  
Time Frequency ◽  
Engine Vibration

For the limitations of HHT of the internal combustion engine vibration signal analysis, and the problem of WVD cross-term suppression methods existing aggregation and cross-term component suppression conflicting, the time-frequency analysis method based on EMD white noise energy density distribution characteristics of the internal combustion engine vibration is proposed. First, the internal combustion engine vibration signal was decomposed into the independent series intrinsic mode function (IMF) with different characteristic time scales by using EMD decomposition method. Then, based on the energy density distribution characteristics of the white noise in EMD decomposition, used the distribution interval estimation curve of the IMFs energy density logarithm of white noise with the same length of the original signal as cordon for false pattern component, identified and eliminated false mode component of vibration signal IMFs component, analysised of each IMF with Wigner-Ville. Finally, the Wigner-Ville analysis results of each IMF were linear superposed in order to reconstruct the original signal time-frequency distribution. Simulation and engine vibration time-frequency analysis results show that this method has an excellent time-frequency characteristics, and can successfully extract feature information of the internal combustion engine cylinder head vibration signal.

Fully Coupled Rigid Internal Combustion Engine Dynamics and Vibration—Part II: Model-Experiment Comparisons

2001 ◽  
Vol 123 (3) ◽  
pp. 685-692 ◽  
Author(s):  
D. M. W. Hoffman ◽  
D. R. Dowling
Keyword(s):  
Internal Combustion Engine ◽  
Model Experiment ◽  
Combustion Engine ◽  
Correlation Coefficients ◽  
Peak Torque ◽  
Internal Combustion ◽  
Engine Block ◽  
Model Parameters ◽  
Engine Vibration ◽  
Heavy Duty Diesel

In internal combustion engine vibration modeling, it is typically assumed that the vibratory state of the engine does not influence the loads transmitted to the engine block from its moving internal components. This one-way-coupling assumption leads to energy conservation problems and does not account for Coriolis and gyroscopic interactions between the engine block and its rotating and reciprocating internal components. A new seven-degree-of-freedom engine vibration model has been developed that does not utilize this assumption and properly conserves energy. This paper presents time and frequency-domain comparisons of this model to experimental measurements made on an inline six-cylinder heavy-duty Diesel engine running at full load at peak-torque (1200 rpm) and rated (2100 rpm) speeds. The model successfully predicts the overall features of the engine’s vibratory output with model-experiment correlation coefficients as high as 70 percent for vibration frequencies up through third engine order. The results are robust to variations in the model parameters. Predictions are less successful at the detail level and at higher frequencies because of uncertainties in the actual imperfections of the test engine, and because of the influence of unmodeled engine components.

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