Detection of combustion start in the controlled auto ignition engine by wavelet transform of the engine block vibration signal

Kim, Seonguk; Min, Kyoungdoug

doi:10.1088/0957-0233/19/8/085407

Cited by 9 publications

(8 citation statements)

References 19 publications

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“…The investigations and results of accelerometer-based combustion sensing have been well documented by a number of sources. 1–11…”

Section: Introductionmentioning

confidence: 99%

“…This property makes wavelet transform a useful method to analyze the signals with time discontinuities and sharp spikes, such as the vibration signal or the radiated sound of an engine during combustion. Research concerning application of wavelet transform for engine combustion metrics or engine-radiated noise analysis can be found in Seonguk and Min 1 , Desantes et al. 12 , and Sen et al.…”

Section: Introductionmentioning

confidence: 99%

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Frequency response function adaptation for reconstruction of combustion signature in a 9-L diesel engine

Jia

Naber

Blough

2015

Proceedings of the Institution of Mechanical Engineers, Part C:

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An accelerometer as a low-cost non-intrusive transducer for sensing the combustion events in a diesel engine was investigated via the reconstruction of in-cylinder pressure using an adapting frequency response function (FRF). As the noise introduced into the accelerometer signal and the response to combustion vary with the operating condition, the FRF computed from a single operating condition only works for the same or similar conditions. To overcome this limitation, an adaptation process for the FRF was explored. Robustness of FRF over additional operational conditions with start of injection, start of combustion, and load variations was greatly improved. Frequency domain analysis shows that only the low-frequency content is determinant for the in-cylinder pressure reconstruction, and the adaptation of the first and second (0 Hz and 121 Hz) harmonics of the FRF results in the greatest improvement for the in-cylinder pressure estimation accuracy. The 0 Hz harmonic is adjusted based on the pre-measured in-cylinder pressure offset and the online measured accelerometer signal offset. Particle swam optimization as a computational algorithm is applied to adapt the 121 Hz harmonic of FRF. The results show that the adapted FRF, in comparison to the unadapted FRF, can reduce the phase error up to 1.3 crank angle degrees and reduce the amplitude error by up to 90%.

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“…The investigations and results of accelerometer-based combustion sensing have been well documented by a number of sources. 1–11…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency response function adaptation for reconstruction of combustion signature in a 9-L diesel engine

Jia

Naber

Blough

2015

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…A knock sensor is used to measure the vibration intensity of the cylinder head or engine block, and the knock intensity, defined as the integral of the absolute knock signal over a given crank angle window (see equation 5), is often used to measure the knock severity. Kim and Min 11 proposed the use of the wavelet transform of the engine knock signal to detect the SOC, while Jargenstedt 12 proposed an approach for detecting the SOC by using the envelope of the knock sensor signal. The knock sensor was also used as an indicator of the SOC for homogeneous charge compression ignition (HCCI) engines.…”

Section: Introductionmentioning

confidence: 99%

Detecting the combustion phase and the biodiesel blend using a knock sensor

Chen

Haskara

Wang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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Existing methods of detecting the combustion phase of a diesel engine are mainly based upon high-cost in-cylinder pressure sensors. This paper presents a method of estimating the location of 75% of the mass fraction burned by using the traditional knock sensor signal. It is observed through experimental data that the knock signal has a close correlation to the location of 75% of the mass fraction burned. In this study, the knock integration is used to represent the knock intensity, while the piecewise knock integration (integration over a crank angle of 1°) is used to detect the location of 75% of the mass fraction burned. The proposed estimation method was validated using the experimental data and provided an accurate estimation of the location of 75% of the mass fraction burned. In addition, the feasibility of using the knock sensor signal to detect the biodiesel content is demonstrated using experimental data.

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“…and Min[27] applied the Meyer wavelet transform to the engine block vibration signal obtained on a controlled…”

mentioning

confidence: 99%

Review of Sensing Methodologies for Estimation of Combustion Metrics

Jia

Naber

Blough

2016

Journal of Combustion

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For reduction of engine-out emissions and improvement of fuel economy, closed-loop control of the combustion process has been explored and documented by many researchers. In the closed-loop control, the engine control parameters are optimized according to the estimated instantaneous combustion metrics provided by the combustion sensing process. Combustion sensing process is primarily composed of two aspects: combustion response signal acquisition and response signal processing. As a number of different signals have been employed as the response signal and the signal processing techniques can be different, this paper did a review work concerning the two aspects: combustion response signals and signal processing techniques. In-cylinder pressure signal was not investigated as one of the response signals in this paper since it has been studied and documented in many publications and also due to its high cost and inconvenience in the application.

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Detection of combustion start in the controlled auto ignition engine by wavelet transform of the engine block vibration signal

Cited by 9 publications

References 19 publications

Frequency response function adaptation for reconstruction of combustion signature in a 9-L diesel engine

Frequency response function adaptation for reconstruction of combustion signature in a 9-L diesel engine

Detecting the combustion phase and the biodiesel blend using a knock sensor

Review of Sensing Methodologies for Estimation of Combustion Metrics

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