Diagnosis and Control of Advanced Diesel Combustions using Engine Vibration Signal

Taglialatela-Scafati, Ferdinando; Cesario, N.; Lavorgna, Mario; Mancaruso, Ezio; Vaglieco, Bianca Maria

doi:10.4271/2011-01-1414

Cited by 16 publications

(5 citation statements)

References 17 publications

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“…The characteristic of piston slap is an instantaneous process, and the spectrum of instant impact mainly consists of high-frequency components. Previous study showed that the frequency components of piston slap were mainly higher than 4000 Hz [28], and the frequency components of vibration signal related with combustion process was mainly lower than 1500 Hz [29][30][31]. The combustion pressure spectrum of the twelve-cylinder engine was calculated by FFT method, and the results are shown in Figure 12.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain

Tian

et al. 2021

Energies

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Combustion-related characteristic parameters, such as the start of combustion (SoC) and the timing of the peak pressure increase rate (PIR), can be used as the feedback signals for the closed-loop control of combustion. A dynamic Finite Element Method (FEM) model was firstly developed to confirm the closely related time period between combustion pressure and vibration. On this basis, a fast processing method was developed to estimate the timings of SoC and the peak PIR in the closely related time period. This method was verified on a twelve-cylinder heavy-duty diesel engine at various engine speed and load. Results showed that the maximum deviation of the two parameters were within 2 °CA and 1.5 °CA, respectively, which suggested that the proposed method had an adequate accuracy.

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Section: Resultsmentioning

confidence: 99%

“…frequency components of piston slap were mainly higher than 4000 Hz [28], and the frequency components of vibration signal related with combustion process was mainly lower than 1500 Hz [29][30][31]. The combustion pressure spectrum of the twelve-cylinder engine was calculated by FFT method, and the results are shown in Figure 12.…”

Section: Resultsmentioning

confidence: 99%

Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain

Tian

et al. 2021

Energies

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“…As the structure of diesel engines is very complex and there are many different vibration sources, that means the original vibration signal has to be analyzed by accurate algorithms [8], [9]. In recent years, many algorithms have been used for vibration signal processing [10], Siano and D'Agostino [11] collected vibration signals and calculated knock characteristic frequencies using Short time Fourier Transform (STFT).…”

Section: Introductionmentioning

confidence: 99%

A Variety of Engine Faults Detection Based on Optimized Variational Mode Decomposition-Robust Independent Component Analysis and Fuzzy C-Mean Clustering

Cao

Zhang

2019

IEEE Access

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As one kind of current main power sources, internal combustion engines require high-reliability to ensure mechanical systems working well in normal operation. This paper studies vibration signals in order to detect multiple types of faults by a single channel signal. First, for the decomposition level of variational mode decomposition (VMD) which needs to be chosen non-automatically, this paper analyzes the features of various faults and optimizes the iteration initial values of center frequency so as to reduce the adverse effect of inappropriate decomposition level. Moreover, considering that VMD cannot decompose different signal sources in the same frequency, robust independent component analysis (ICA) is an excellent method to overcome this challenge. Then, the fourth-order cumulant of restructured signals from VMD and robust ICA is taken as fault indexes. Finally, because of the high error rate of original fuzzy C-Mean clustering, Euclidean distance between test points and cluster center of fuel injection failure is taken as a fault detection threshold in order to achieve high-recognition rate. In conclusion, through optimizing several algorithms, the purpose of detecting multiple types of faults by single channel signal is achieved in the current research.

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“…[10][11][12][13][14][15] Also, some studies have been carried out using the computational method. Taglialatela et al 16 modelled the vibration acceleration of the engine structure due to combustion as a simple linear spring-mass system and the model was used to illustrate the frequency components and the timing of the appearance of the response. Chiatti et al 17 developed a flexible multi-body dynamics model using ADAMS and investigated the vibration acceleration of the cylinder head for several working conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the vibration sensors used in the estimation of the combustion process in a diesel engine

Yong

Huang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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The vibration signal measured from the cylinder head contains much effective information about the combustion process. The vibration signal can be measured with a vibration displacement sensor, a vibration velocity sensor or a vibration acceleration sensor. In this study the signals measured with the three sensors were compared. The comparison results showed that the vibration displacement measured from the cylinder head is mainly caused by the fixed bracket of the diesel engine, and it is difficult to extract combustion information from the vibration displacement. The vibration velocity signal was compared with the pressure increase rate. The comparison results showed that the two signals have similar trends in the main combustion process. The vibration velocity signal contains much information about combustion. The vibration acceleration signal is hardly influenced by the fixed bracket but contains the vibration response excited by the impact of the opening and closing of the valves and other impact-exciting sources. Based on the results of analyses, it can be concluded that the vibration velocity sensor is the best sensor to estimate the combustion process. The vibration velocity signal was used to estimate the timing of the start of combustion for a two-cylinder homogeneous charge compression ignition engine. The results demonstrated that the accuracy of estimation fulfils the requirement of the application.

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Diagnosis and Control of Advanced Diesel Combustions using Engine Vibration Signal

Cited by 16 publications

References 17 publications

Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain

Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain

A Variety of Engine Faults Detection Based on Optimized Variational Mode Decomposition-Robust Independent Component Analysis and Fuzzy C-Mean Clustering

Comparison of the vibration sensors used in the estimation of the combustion process in a diesel engine

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