A FDD method by combining transfer entropy and signed digraph and its application to air separation unit

Author

Hou, Q. ; Wang, L. ; Lu, N.Y. ; Jiang, B. ; Lu, J.H.

Author_Institution

Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

fYear

2010

fDate

7-10 Dec. 2010

Firstpage

352

Lastpage

357

Abstract

A fault detection and diagnosis (FDD) method is proposed by combining transfer entropy (TE) and signed digraph (SDG). Given process historical data, transfer entropy is used to construct a SDG model to represent causal relationship between process variables. A fault severity evaluation method is then proposed based on the modified SDG model, where the nodes can take values of (0), (±1), (±3) and (±6). Then, an index named DoF is developed to measure fault severity. The application results can verify the effectiveness and feasibility of the proposed method.

Keywords

chemical engineering; chemical industry; fault diagnosis; graph theory; DoF index; FDD method; air separation unit; fault detection-and-diagnosis method; fault severity evaluation method; modified SDG model; signed digraph; transfer entropy; Argon; Correlation; Entropy; Fault diagnosis; Nitrogen; Production systems; Steady-state; Fault detection and diagnosis; air separation unit; fault severity evaluation; signed digraph; transfer entropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-7814-9

Type

conf

DOI

10.1109/ICARCV.2010.5707830

Filename

5707830