Recognition of working-status for rotary kiln hood based on weighted fuzzy reasoning and soft sensor

Author

Yu, Hongliang ; Wang, Xiaohong ; Fang, Ximing ; Li, Xiaojia

Author_Institution

Inst. of Autom., Univ. of Jinan, Jinan, China

fYear

2012

fDate

23-25 May 2012

Firstpage

423

Lastpage

428

Abstract

A new scheme for recognition of working condition is proposed based on fuzzy reasoning and soft sensor in the foundation of analyzing the rotary kiln hood characteristics. In this scheme, the key parameters which can not be measured on-line are identified current conditions by a double RBF neural network based on soft-sensor identification. Fuzzy recognition is used to recognize the change tendency and real-time state of pivotal craft parameters. The system outputs the species of current working condition after fuzzy reasoning, practice in factory shows the correctness and practicability of the scheme.

Keywords

cement industry; fuzzy reasoning; kilns; production engineering computing; radial basis function networks; sensors; change tendency; double RBF neural network; fuzzy recognition; pivotal craft parameters; rotary kiln hood characteristics; soft-sensor identification; weighted fuzzy reasoning; working condition recognition; working-status recognition; Feature extraction; Fuzzy reasoning; Kilns; Neural networks; Predictive models; Production; Real time systems; Fuzzy Reasoning; Parameter Recognition; Rotary Kiln; Soft-sensor Identification; Working-status Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244064

Filename

6244064