Volume : III, Issue : VII, July - 2013

Boiler Performance Optimization Using Process Neural Network

Subodh Panda, Bikash Swain, Sandeep Mishra

Abstract :

The important issue in the modern thermal power plant is to develop methodology concept algorithm technologies for designing a control system which must be able to evolve, self develop. self organized and self evaluated and to self improve. Although linear model can provide acceptable performance for many systems they may be unsuitable for non linearity. So it is highly required for a model that reflect the non liner relationship between cause and effect variable. Implementation of soft sensor in neural network estimate process data using self organizing neural network. Here basic requirement of design an neuron control with soft sensor are the knowledge of fundamental relationship of process variable and the parameter in the question .It is called a process neural network which is an extension of traditional neural network in which the input and output are time variant. So the data processing is better than traditional neural network so it is highly suitable to minimize heat loss at blow down station and increase its ability by operating at peak.

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Subodh Panda, Bikash Swain, Sandeep Mishra Boiler Performance Optimization Using Process Neural Network Indian Journal of Applied Research, Vol.III, Issue.VII July 2013


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