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Chaos Theory Approach as Advanced Technique for GDI Spray Analysis Istituto Motori CNR
- Format:
- Conference/Event
- Author/Creator:
- Allocca, Allocca, author.
- Conference Name:
- WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2017
- Summary:
- AbstractThe paper reports an innovative method of analysis based on an advanced statistical techniques applied to images captured by a high-speed camera that allows highlighting phenomena and anomalies hardly detectable by conventional optical diagnostic techniques. The images, previously elaborated by neural network tools in order for clearly identifying the contours, have been analyzed in their time evolution as pseudo-chaotic variables that may have internal periodic components. In addition to the Fourier analysis, tools as Lyapunov and Hurst exponents and average Kω permitted to detect the chaos level of the signals. The use of this technique has permitted to distinguish periodic oscillations from chaotic variations and to detect those parameters that actually determine the spray behavior
- Notes:
- Vendor supplied data
- Publisher Number:
- 2017-01-0839
- Access Restriction:
- Restricted for use by site license
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