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EXSENSEL – a rule‐based approach to selection of sensors for process variables
Author(s) -
Barua Alok,
Sengupta Sumit
Publication year - 1996
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.270190510
Subject(s) - process (computing) , expert system , selection (genetic algorithm) , computer science , knowledge base , set (abstract data type) , successor cardinal , variable (mathematics) , data mining , feature selection , machine learning , artificial intelligence , mathematics , mathematical analysis , programming language , operating system
A novel expert‐system‐based method for selection of sensors for process variables is presented. EXSENSEL (expert system based sensor selection) deals with 12 process variables and currently has 94 rules in its knowledge base. Despite its large knowledge base, users have to answer a set of only a few questions regarding a particular process variable, which is selected from a menu of 12 variables. A general description of the chosen process variable can be viewed before invoking the rules. Once a sensor has been selected, a brief write up on that particular sensor is also available on user's request. EXSENSEL is the successor to TRANSELEX, which is a single expert system for selection of transducers in the area of temperature, pressure, and flow measurement.