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

fYear

2013

fDate

26-29 Aug. 2013

Firstpage

378

Lastpage

383

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MMAR.2013.6669937

Filename

6669937