Microsensors for high temperature and pressure

Project owner

Western Norway University of Applied Sciences, Faculty of Technology, Environmental and Social Sciences

Project period

January 1999 - December 2004

Project summary

The application of Multi Sensor Data Fusion (MSDF) techniques has been increasing in the recent past. The concept of MSDF is hardly new, as humans and animals have used their various sensoric perceptions in combination under various circumstances. Due to the availability of computing techniques and highly efficient sensors, the MSDF techniques can be applies in areas such as monitoring and control of complex machinery, medical diagnosis and smart buildings. In addition to these, MSDF can also be applied to process industries like metal production,nuclear as well as conventional power plants and in measurement-while-drilling in the oil and gas industry.The techniques of MSDF are drawn from a wide range of areas including modelling, artificial intelligence (incorporating neural and fuzzy techniques), pattern recognition, statistical estimation and other areas [9,10,11,12]. As input to the MSDF algorithms, data from transducers measuring pressure and temperature using conventional techniques as well as data from other sensor systems. Examples of these new sensor systems are found in process tomography, ultrasonics and NDT.The MSDF using sensors, their modelling, signal processing and data analysis can lead to fast and reliable process measurements and control. We will focus on MSDF for hydrocyclones.