Title :
Data fusion: from primary metrology to process measurement
Author_Institution :
Nat. Phys. Lab., Teddington, UK
Abstract :
In this paper, the author discusses a range of issues surrounding the use of data fusion in measurement science. Applications within NPL, looking at reducing uncertainty in measuring fundamental physical attributes, are considered NPL´s role in the UK Faraday Scheme “INTErSECT” (Intelligent Sensors for Control Technologies) offers a different perspective on data fusion, where it is being used to effect new measurements in a variety of process technologies. The author will outline the scheme´s initial work on the development of a framework in which data fusion can be carried out for these diverse scenarios
Keywords :
belief networks; intelligent sensors; knowledge acquisition; measurement theory; measurement uncertainty; modelling; probability; process control; process monitoring; sensor fusion; AI; Bayesian networks; INTErSECT; UK Faraday Scheme; collaborative work; data fusion; empirical modelling; fundamental physical attributes measurement; intelligent sensors for control technologies; measurement science; physical modelling; primary metrology; probability; process measurement; reliability; signal processing; soft computing; statistical techniques; uncertainty reduction; unification of scales; Art; Collaborative work; Gain measurement; Intelligent sensors; Metrology; Process control; Redundancy; Sensor fusion; Sensor phenomena and characterization; Target tracking;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776020
