dc.creator | Tudón Martínez, Juan C. | |
dc.creator | Morales Menéndez, Rubén | |
dc.creator | Ramírez Mendoza, Ricardo A. | |
dc.creator | Garza Castañón, Luis E. | |
dc.creator | Vargas Martínez, Adriana | |
dc.date.accessioned | 2013-04-11T00:54:56Z | |
dc.date.available | 2013-04-11T00:54:56Z | |
dc.date.created | 2013-04-11T00:54:56Z | |
dc.date.issued | 2011-03-08 | |
dc.identifier | Revista Computación y Sistemas; Vol. 14 No. 3 | |
dc.identifier | 1405-5546 | |
dc.identifier | http://www.repositoriodigital.ipn.mx/handle/123456789/15016 | |
dc.description.abstract | Abstract. A comparison between the Dynamic Principal
Component Analysis (DPCA) method and a set of
Diagnostic Observers (DO) under the same experimental
data from a shell and tube industrial heat exchanger is
presented. The comparative analysis shows the detection
properties of both methods when sensors and/or
actuators fail online, including scenarios with multiple
faults. Similar metrics are defined for both methods:
robustness, quick detection, isolability capacity,
explanation facility, false alarm rates and multiple faults
identifiability. Experimental results show the principal
advantages and disadvantages of both methods. DO
showed quicker detection for sensor and actuator faults
with lower false alarm rate. Also, DO can isolate multiple
faults. DPCA required a minor training effort; however, it
can not identify two or more sequential faults. | |
dc.language | en_US | |
dc.publisher | Revista Computación y Sistemas; Vol. 14 No. 3 | |
dc.relation | Revista Computación y Sistemas;Vol. 14 No. 3 | |
dc.subject | Keywords. Fault Detection and Diagnosis, Model Classification, Computer Application, Dynamic Principal Component Analysis, Diagnostic Observers. | |
dc.title | Fault Detection in a Heat Exchanger, Comparative Analysis between Dynamic Principal Component Analysis and Diagnostic Observers | |
dc.type | Article | |