Title :
Data driven state detection algorithm for ash deposition detection
Author :
Liu Jiwei ; Liu Jizhen ; Zeng Deliang ; Chang Taihua
Author_Institution :
Key Lab. of Meas. & Control New Technol. & Syst. for Ind. Process, North China Electr. Power Univ., Beijing, China
Abstract :
A data driven state detection algorithm was proposed to improve the security and reliability of equipment. The algorithm is used for one class of objects whose state parameters change slowly and cumulatively in the long term. The concepts of multi-scale system, multi-scale entropy and multi-scale exergy were used to describe these processes. With the help of the algorithm, an ash deposition index for the radiant heating surface of a 600 MW unit was constructed to monitor the states of the instruments. Noise was analyzed. The results of simulation experiments demonstrate the effectiveness of the algorithm, which can provide a technical basis for condition maintenance.
Keywords :
Kalman filters; exergy; heating; production engineering computing; production equipment; reliability; sensor fusion; ash deposition detection; data driven state detection algorithm; equipment reliability; equipment security; instruments; multiscale entropy; multiscale exergy; multiscale system; noise analysis; power 600 MW; radiant heating surface; state parameters; Ash; Detection algorithms; Entropy; Equations; Mathematical model; Noise; Steady-state; State detection; ash deposition index; multi-scale entropy; multi-scale exergy; multi-scale system;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2013 18th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4673-5506-3
DOI :
10.1109/MMAR.2013.6669937
