Frequency Coupling Analysis in Spark Ignition Engine Using Bispectral Method and Ensemble Empirical Mode Decomposition

Yacoubi, Ismail El; Samuel, Stephen

doi:10.4271/2022-01-0481

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…These restrictions introduced various research work in powertrains development. One common area of research in IC engines is the improvement of the combustion process since it affects the overall performance of the engine [1].…”

Section: Combustion Analysismentioning

confidence: 99%

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Yacoubi¹,

Samuel²

2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Internal combustion (IC) engines are the most common power unit technology found in road vehicles. The process of combustion within IC engines is linked to the output torque and overall powertrain performance. This work presents a method of analysing the parameters of cylinder pressure and crankshaft instantaneous speed signals obtained from a turbocharged, 4-stroke, 4-cylinder, 1.6 Litre, spark ignition, gasoline direct injection engine at various speed and load operating conditions. Whereas cepstrum analysis is used in the present work to extract critical features characterising the combustion process. Cepstrum analysis showed that the location of maximum heat release can be directly obtained from the quefrency of the instantaneous crank speed. This paper presents a systematic scheme for applying cepstrum for obtaining combustion features from the instantaneous crank speed signal.</div></div>

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Section: Combustion Analysismentioning

confidence: 99%

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Yacoubi¹,

Samuel²

2023

SAE Technical Paper Series

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Application of Bispectral Analysis to Assess the Effect of Drought on the Photosynthetic Activity of Lettuce Plants Lactuca sativa L.

Astashev,

Burmistrov,

Yanykin

et al. 2024

MCA

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This article proposes a new method for determining the pathological state of a plant, based on a combination of the method for measuring the dynamics of photosystem II pigment fluorescence in the leaves of L. sativa plants and analyzing the resulting time series using bispectral analysis based on the wavelet transform. The article theoretically shows a possible mechanism for the appearance of a peak on the map of bispectrum indexes during nonlinear analog conversion of a physiological signal in a biological object. The phenomenon of increasing the degree of nonlinearity in the transmission of an external periodic signal in plant signaling systems has been experimentally demonstrated.

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Ensemble Empirical Mode Decomposition for Characterising Exhaust Nano-Scale Particle Emissions of a Turbocharged Gasoline Power Unit

El Yacoubi,

Samuel

2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">This paper presents a method for analysing the characteristics of nano-scale particles emitted from a 1.6 Litre, 4-stroke, gasoline direct injection (GDI) and turbocharged spark ignition engine fitted with a three-way catalytic converter. Ensemble Empirical Mode Decomposition (EEMD) is employed in this work to decompose the nano-scale particle size spectrums obtained using a differential mobility spectrometer (DMS) into Intrinsic Mode Functions (IMF). Fast Fourier Transform (FFT) is then applied to each IMF to compute its frequency content.</div><div class="htmlview paragraph">The results show a strong correlation between the IMFs of specific particle ranges and the IMFs of the total particle count at various speed and load operating conditions. Hence, it is possible to characterise the influence of specific nano-scale particle ranges on the total particulate matter signal by analysing the frequency components of its IMFs using the EEMD-FFT method. This approach can provide a useful insight for developing a control strategy for reducing nano-scale particle emissions of a GDI engine. The present work details the systematic methodology followed for using EEMD in combination with FFT to analyse the spectrums of nano-scale particulate matter emissions.</div></div>

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Frequency Coupling Analysis in Spark Ignition Engine Using Bispectral Method and Ensemble Empirical Mode Decomposition

Cited by 3 publications

References 22 publications

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Application of Bispectral Analysis to Assess the Effect of Drought on the Photosynthetic Activity of Lettuce Plants Lactuca sativa L.

Ensemble Empirical Mode Decomposition for Characterising Exhaust Nano-Scale Particle Emissions of a Turbocharged Gasoline Power Unit

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