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Real-Time Fault Diagnostics
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.87689June 1991 (vol. 6 no. 3) pp. 75-85
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Samir Padalkar, Gabor Karsai, Casba Biegl, John Sztipanovits, Koji Okuda, Nobuji Miyasaka, "Real-Time Fault Diagnostics," IEEE Intelligent Systems, vol. 6, no. 3, pp. 75-85, June, 1991.
 
 
BibTex
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@article{ 10.1109/64.87689,
author = {Samir Padalkar and Gabor Karsai and Casba Biegl and John Sztipanovits and Koji Okuda and Nobuji Miyasaka},
title = {Real-Time Fault Diagnostics},
journal ={IEEE Intelligent Systems},
volume = {6},
number = {3},
issn = {0885-9000},
year = {1991},
pages = {75-85},
doi = {http://doi.ieeecomputersociety.org/10.1109/64.87689},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Real-Time Fault Diagnostics
IS - 3
SN - 0885-9000
SP75
EP85
EPD - 75-85
A1 - Samir Padalkar,
A1 - Gabor Karsai,
A1 - Casba Biegl,
A1 - John Sztipanovits,
A1 - Koji Okuda,
A1 - Nobuji Miyasaka,
PY - 1991
VL - 6
JA - IEEE Intelligent Systems
ER -
 

The intelligent process control system (IPCS), an integrated environment for developing complex process control and automation systems is discussed, focusing on its real-time fault diagnostics capability. IPCS has been used to build a supervisory monitoring and diagnostics system for a cogenerator plant. The requirements and problems specific to such systems are examined. The key concepts involved in fault modeling in IPCS are explicated. The IPCS reasoning technique is described in some detail. The IPCS tool kit is also described. IPCS's performance in the cogenerator plant application is reported.

Citation:
Samir Padalkar, Gabor Karsai, Casba Biegl, John Sztipanovits, Koji Okuda, Nobuji Miyasaka, "Real-Time Fault Diagnostics," IEEE Intelligent Systems, vol. 6, no. 3, pp. 75-85, June 1991, doi:10.1109/64.87689
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