Open AccessOn the problem of monitoring a technological process based on multipoint spatial measurement of parameters
Author(s) -
И В Ковалев,
В. В. Лосев,
Михаил Сарамуд,
Д. И. Ковалев,
М. В. Карасева,
А. С. Кузнецов
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/315/6/062030
Subject(s) - reliability (semiconductor) , dependency (uml) , transformation (genetics) , computer science , flue gas , reliability engineering , process (computing) , functional dependency , point (geometry) , fuzzy logic , thermal power station , reduction (mathematics) , power (physics) , data mining , algorithm , mathematics , artificial intelligence , engineering , physics , biochemistry , chemistry , geometry , quantum mechanics , relational database , gene , operating system , waste management
The article considers a method for increasing the parameters reliability of a multipoint spatial measurement during the environmental monitoring at thermal power plants. The result is achieved by using functional dependency and applying fuzzy voting by the agreed majority for decision making. The functional dependence is caused by physical processes occurring while the flue gases transformation along the length of the pipe. The proposed approach helps to compare directly the values of the measured parameter obtained at different points in space, due to their reduction using functional dependencies. This approach also can detect the faults in the sensors. The detection of failures occurs by comparing the direct readings at a given point with the readings calculated about other points.