Publication Type : Conference Proceedings
Publisher : ICCICCT
Source : 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), IEEE, Kanyakumari, India (2014)
Url : https://ieeexplore.ieee.org/document/6993147
Campus : Bengaluru
School : College of Nursing, School of Engineering
Department : Electronics and Communication
Year : 2014
Abstract : Effective Control of Complex process in power generation industries is a challenge to instrumentation engineers. Most importantly coordination of sensor functioning should be monitored regularly. So, a sensor validation and data reconciliation methods are adopted for monitoring the data and faulty data are replaced. In this paper neural network based data validation method is developed and tested for pressure sensor. For neural networks, back propagation algorithm is applied for obtaining an estimated value and then a fault detection method called SPRT (Sequential probability ratio test) is applied to identify the trueness of the sensor.
Cite this Research Publication : B. Mounika, Raghu, G., Sreelekha, S., and Jeyanthi R., “Neural network based data validation algorithm for pressure processes”, in 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, India, 2014.