Systems/Process Monitoring, Diagnostics and Control
Artificial Intelligence / Expert Systems Expertise
Development Areas
- AI/Expert systems for the diagnosis and management of thermal-hydraulic process systems
- Qualitative analysis for IF-THEN rule development
- Component-characteristic-based neural network representations
- Two-level hierarchical hybrid expert system/neural network for process fault diagnosis
- Rule generation from process physics modeling
- Development of process models that run in real time
- Neural net development for process simulation
Equipment/Software Tools
- QUINTUS Prolog development system on Sun Microsystems, Inc. workstations
Accomplishments
- Development of the MSET technology for on-line validation of process parameters, plant state verification and fault identification
- Development of process models for real time analysis
- PRODIAG: plant independent AI development system
for process fault diagnosis
The only required plant specific input is the piping and instrumentation diagram information. This benefit is derived from a patented Argonne technique for thermal-hydraulic (T-H) function classification and component characteristics representation, which allows PRODIAG to be applied to T-H systems in power plants, both nuclear and fossil, the chemical processing industry and petroleum refineries with no need for additional verification and validation. - See Patents related to PRODIAG software
Last Modified: Thu, April 21, 2016 4:54 AM
