Title :
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
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;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707830
