Development of Root Cause & Consequence Analyzer for Intelligent Fault Diagnosis

Fault propagation analysis is an important task that can be used to analyze and predict abnormal situations in chemical and petrochemical plants. It is difficult to identify all possible fault propagation scenarios due to plant complexity, operating condition changes, and computation limitations. In this paper, development of root cause and consequence analysis is proposed. Computational intelligence algorithm is proposed to synthesize fault propagation scenarios based on plant topology nodes. Automated solution is developed and used to synthesize and analyze fault propagation scenarios, which are used for real-time fault diagnosis and safety assessment using case study chemical plant