NIOSHTIC-2 Publications Search
Artificial Intelligence in Process Plant Safety.
Laboratory for Intelligent Process Systems, School of Chemical Engineering, Purdue University, West Lafayette, Indiana 1990 Nov:72 pages
A process general inference procedure was presented that derived the malfunction hypotheses from the structure and behavior of the process facility. A framework for developing causal model based approaches to fault diagnosis of chemical process facilities was proposed. This framework involved the development of unit centered models that incorporate first principles knowledge of the process such as conservation laws. This approach also treated the structural connectivity of the process explicitly. A framework was also developed for the integration of deep level and compiled knowledge for process diagnosis. An object oriented architecture was developed for facilitating knowledge representation and reasoning. The feasibility of this novel approach was demonstrated in the form of a prototypical expert system, called MODEX2, for Model Oriented Diagnostic EXpert 2. Also presented was a mechanism called causality based failure driven learning for the automatic acquisition of diagnostic knowledge. This technique refined a heuristic in the event that the hypothesized causal origin offered by the heuristic was incorrect. The heuristic was thus strengthened, preventing it from firing if a similar situation were to arise. A technique was also developed for the automatic generation of process trend descriptions from sensor data. This trend description can be used to perform diagnoses under transient conditions of the process.
NIOSH-Grant; Control-technology; Chemical-manufacturing-industry; Chemical-industry-workers; Occupational-safety-programs; Automation;
Chemical Engineering Columbia University Chme Building New York, New York 10027
Final Grant Report;
NTIS Accession No.
Control Technology and Personal Protective Equipment; Research Tools and Approaches; Control-technology;
Laboratory for Intelligent Process Systems, School of Chemical Engineering, Purdue University, West Lafayette, Indiana
Columbia University New York, New York, New York
Page last reviewed: February 18, 2022
Content source: National Institute for Occupational Safety and Health Education and Information Division