Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Proceedings
Publisher : CCUBE
Source : ”, 2013 International Conference on Circuits, Controls and Communications, CCUBE 2013, 2013
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Verified : Yes
Year : 2013
Abstract : Sensor data validation is essential for the successful operation of any complex dynamic system, which is largely dependent on the validity of the sensor data. As the sensor data is used for the display and control purposes, the overall process output would be faulty if the sensor data is erroneous. In this paper a Takagi-Sugeno Fuzzy Inference System is used to determine the data-confidence of the sensor data. The methodology presented is illustrated on experimental data from an RTD sensor and a pressure sensor. This method can be called as a generic method as, it works for processes which are as slow as temperature processes and also processes which are as fast as pressure processes.
Cite this Research Publication : Kancherla, N., Jeyanthi, R., “Design of a generic Fuzzy-based sensor data validation algorithm for a chemical process”, 2013 International Conference on Circuits, Controls and Communications, CCUBE 2013, 2013.