Capturing Cyclic Variability in SI Engine with Group Independent Component Analysis 2015-24-2415
Data decomposition techniques have become a standard approach for the analysis of 2D imaging data originating from optically accessible internal combustion engines. In particular, the method of Proper Orthogonal Decomposition (POD) has proven to be a valuable tool for the evaluation of cycle-to-cycle variability based on luminous combustion imaging and particle image velocimetry (PIV) measurements. POD basically permits to characterize the dominant structures of the process under consideration. Recently, an alternative procedure based on Independent Component Analysis (ICA) has been introduced in the engine field. Unlike POD, the method of ICA identifies the patterns corresponding to physical processes that are statistically independent. In this work, a Group-ICA approach is applied to 2D cycle-resolved images of the luminosity emitted by the combustion process. The analysis is meant to characterize cyclic variability of a port fuel injection spark ignition (PFI SI) engine. For example, any flame front ignited independently by a hot spot is expected to behave independently from the other observed flames. In the Group-ICA approach, image sequences collected synchronically over a number of cycles are grouped together and then analyzed to identify common independent components. These should correspond to the independent phenomena underlying the combustion process at the group level. By this way, a projection is implicitly defined that permits the reconstruction of each member of the group (cycle) through the independent components and their coefficients. The successive analysis of the associated time courses (coefficients), specific for each cycle, permits to capture and discuss differences among cycles.
Citation: Bizon, K., Lombardi, S., Continillo, G., Sementa, P. et al., "Capturing Cyclic Variability in SI Engine with Group Independent Component Analysis," SAE Int. J. Engines 8(5):2042-2049, 2015, https://doi.org/10.4271/2015-24-2415. Download Citation
Author(s):
Katarzyna Danuta Bizon, Simone Lombardi, Gaetano Continillo, Paolo Sementa, Bianca Maria Vaglieco
Affiliated:
Cracow University of Technology, Universita del Sannio, Istituto Motori CNR
Pages: 8
Event:
12th International Conference on Engines & Vehicles
ISSN:
1946-3936
e-ISSN:
1946-3944
Also in:
SAE International Journal of Engines-V124-3, SAE International Journal of Engines-V124-3EJ
Related Topics:
Spark ignition engines
Fuel injection
Combustion and combustion processes
Imaging and visualization
Particulate matter (PM)
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »