Abstract
Operability Study is a systematic technique for identifying hazards or operability problems throughout an entire facility. In this paper, we have proposed an approach using knowledge engineering techniques to the automated Operability Study. The computer-aided Operability Study System consists of the plant specific knowledge base, the generic data base and the inference engine. Causal relationships between input variable deviations and output variable deviations for components are modeled using decision tables. Decision tables for components are developed by the user and stored in generic data base in computers. The plant structure (Piping and Instrumentation diagram) and reaction types are inputted to the plant specific knowledge base in computers. Each process variable of equipment is examined in sequence by searching the generic data base, and Operability Study are generated resulting from the search.
We demonstrate via solvey process how computer-aided Operability Study can identify hazards, and substantiate usefulness of the method.
