Chattopadhyay, M and Dey, J and Mani, V (1999) Transitional intermittency detection by neural network. In: Experiments in Fluids, 26 (6). pp. 549-552.
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A neural network has been used to predict the flow intermittency from velocity signals in the transition zone in a boundary layer. Unlike many of the available intermittency detection methods requiring a proper threshold choice in order to distinguish between the turbulent and non-turbulent parts of a signal, a trained neural network does not involve any threshold decision. The intermittency prediction based on the neural network has been found to be very satisfactory.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Springer.|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||03 Aug 2011 07:18|
|Last Modified:||03 Aug 2011 07:18|
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