Real time identification of the internal combustion engine combustion parameters based on the vibration velocity signal

Zhao, Xinbing; Yong, Cheng; Wang, Limei; Ji, Shaobo

doi:10.1016/j.jsv.2016.11.013

Cited by 22 publications

(10 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many parts of the internal combustion engine can produce noise. According to the source of the internal combustion engine, the noise can be divided into mechanical noise, combustion noise, and aerodynamic noise [2][3][4]. Mechanical noise mainly includes piston slap noise, air valve knock noise, gear meshing noise, and fuel injection pump noise.…”

Section: Introductionmentioning

confidence: 99%

Radiation Noise Separation of Internal Combustion Engine Based on Gammatone-RobustICA Method

Yao

Xiang

Qian

et al. 2017

Shock and Vibration

View full text Add to dashboard Cite

In the internal combustion engine noise source separation process, the combustion noise and the piston slap noise are found to be seriously aliased in time-frequency domain. It is difficult to accurately separate them. Therefore, the noise source separation method which is based on Gammatone filter bank and robust independent component analysis (RobustICA) is proposed. The 6-cylinder internal combustion engine vibration and noise test are carried out in a semianechoic chamber. The lead covering method is adopted to isolate the interference noise from numbers 1 to 5 cylinder parts, with only the number 6 cylinder parts left bare. Firstly, many mode components of the measured near-field radiated noise signals are extracted through the designed Gammatone filter bank. Then, the RobustICA algorithm is utilised to extract the independent components. Finally, the spectrum analysis, the continuous wavelet time-frequency analysis, the correlation function method, and the drag test are employed to further identify the separation results. The research results show that the frequency of the combustion noise and the piston slap noise are, respectively, concentrated at 4025 Hz and 1725 Hz. Compared with the EWT-RobustICA method, the separation results obtained by the Gammatone-RobustICA method have very fewer interference components.

show abstract

Section: Introductionmentioning

confidence: 99%

Radiation Noise Separation of Internal Combustion Engine Based on Gammatone-RobustICA Method

Yao

Xiang

Qian

et al. 2017

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…Most of the information is mainly focused on the first two IMFs, and the remaining IMFs constitute the low interference. 7 Therefore, the first two IMFs are summed to form a new composite signal to replace the original signal, and the new signal is shown in Figure 9.…”

Section: Emd Processingmentioning

confidence: 99%

“…The vibration signal contains a lot of information about the running state and incylinder pressure of the diesel engine, and is easy to measure; thus, it is commonly used for CAFD. Ji et al [7][8][9] collected the vibration acceleration signal of the cylinder surface of the diesel engine. Based on this information, they proposed a new method to identify starting points of three key combustion parameters used for assessment of diesel and achieved high accuracy through the deviation correction approach.…”

Section: Introductionmentioning

confidence: 99%

Identification of power output of diesel engine by analysis of the vibration signal

Gao

Jiang

Zhang

2019

Measurement and Control

View full text Add to dashboard Cite

Power output is one of the main working parameters of a diesel engine, which not only reflects its dynamic performance but also acts as an important indicator of its operating state. At present, diesel engine power monitoring mainly depends on dynamometers, but most engines cannot be so equipped during operation. In addition, other techniques, such as in-cylinder pressure measurements used to gauge power output are invasive and have higher requirements for sealing and reliability. Therefore, it is important to study other means for achieving real-time monitoring of engine power that do not damage the engine. In this paper, we use the vibration acceleration of the combustion phase in the angle domain as the original signal to identify the output power. However, the signal contains many interference signals and must be pre-processed by purification techniques such as filtering, de-noising and empirical mode decomposition. Finally, the automatic identification of the power of a diesel engine is realized by means of inductive monitoring system algorithms. The test results show that the recognition accuracy under the five different working loads ranges between 83% and 95%, which demonstrates the effectiveness of the proposed method.

show abstract

“…Many parts of the internal combustion engine can produce worth note noise. According to the noise source of the internal combustion engine, the noise can be divided into mechanical noise, combustion noise, and aerodynamic noise in [2][3]. Mechanical noise mainly consists of piston slap noise, air valve knocking noise, gear meshing noise, and fuel injection pump noise.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Internal Combustion Engine Under Noise Measurements an Experimental and Analytical Procedure

Korkos¹,

Nikolakopoulos²

2020

Tribol. Ind.

View full text Add to dashboard Cite

Real time identification of the internal combustion engine combustion parameters based on the vibration velocity signal

Cited by 22 publications

References 20 publications

Radiation Noise Separation of Internal Combustion Engine Based on Gammatone-RobustICA Method

Radiation Noise Separation of Internal Combustion Engine Based on Gammatone-RobustICA Method

Identification of power output of diesel engine by analysis of the vibration signal

Performance Evaluation of Internal Combustion Engine Under Noise Measurements an Experimental and Analytical Procedure

Contact Info

Product

Resources

About