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Real time recognition and monitoring automation of multiple sensitive parameters for multi processes through a single neural system using TDM in dynamic environment with very high precision

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3 Author(s)
Pavale, P.S. ; Dayananda Sager Coll. of Eng., Bangalore, India ; Rao, D.H. ; Naidu, K.R.

Precision control is one of the most important parameter of real time application. Area of application are numerous, a couple of them may be medical application or space application. Objectives are highly dependent upon the controlling mechanism. To visualize this scenario any production plant is the best example. Conventional means of controlling are facing difficulties in providing the response as expected. A new methodology with respect to Artificial Neural Network (ANN) is looked as an option for improving the result. Control chart pattern plays very important role in the controlling mechanism. This provides the information of flow about parameters of interest. To design the Neural system to recognize the variation in the control chart pattern. The six patterns are Normal, Cyclic, Incremental, Decremental, Upward shift, and downward shift that are the maximum possible patterns obtained from any industrial process. And To design a mechanism to provide the solution for different process through a single neural system i.e. multi process neuro monitoring system using time division multiplexing.

Published in:

Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on

Date of Conference:

28-29 Dec. 2010