DocumentCode
1886928
Title
Fault diagnosis operation of a cement kiln process using structural analysis
Author
Nivetha, P. ; Gomathi, V. ; Ramkumar, K. ; Balasubramanian, G. ; Guruprasath, M.
Author_Institution
EIE, SASTRA Univ., Tanjore, India
fYear
2015
fDate
6-8 May 2015
Firstpage
637
Lastpage
643
Abstract
This paper deals with the fault diagnosis operation of a cement kiln process using structural analysis technique. Graph-based technique of fault detection and isolation is the unique methodology that can cope with the diagnosis design for cement plant which is of highly complexity and nonlinearity. Structural analysis is a graph-based powerful tool that helps to analyze the system properties. By generating the Analytical Redundancy Relation (ARR) the fault diagnosis operation is carried out. Structural analysis consists of set of constraints that model the system normal behavior. Fault is the violation of one or more constraints. Structural analysis is able to determine which constraints in the system deviate from normal and determines which faults can be detected and isolated. Other system properties like reachability, monitorability and controllability are also addressed. This technique is performed using SaTool which is a MATLAB based structural analysis tool.
Keywords
cement industry; design engineering; fault diagnosis; graph theory; kilns; redundancy; structural engineering; ARR; analytical redundancy relation; cement kiln process fault diagnosis design operation; cement plant; fault detection and isolation; graph-based powerful tool; structural analysis technique; Fault diagnosis; Feeds; Fuels; Kilns; Monitoring; Temperature measurement; Temperature sensors; cement rotary kiln; fault detection and isolation; structural analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-9854-8
Type
conf
DOI
10.1109/ICSTM.2015.7225491
Filename
7225491
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