Sammendrag
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.
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Vitenskapelig sammendrag
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.
Vis fullstendig beskrivelse