Failure detection and diagnosis system for instrumentation in steam generators hybridizing fuzzy logic and systematic methodologies

In complex industrial processes, such as a thermo-electric generator, shutdowns of non-scheduled plants occur due to faults in the process and the instruments that make up the automation system, which affects production and become economic losses for the company. Added to this, the need to improve productivity, successful decision making, and the requirement to seek mechanisms to maintain high levels of reliability and safety have created the need to effectively implement modern methodologies of maintenance, reliability and detection and diagnosis systems. In this article, a system of detection and diagnosis of faults is presented, hybridizing diffuse logic and systematic methodologies. Systematic methodologies are used in order to determine which instruments have the greatest impact of failures to optimize human, economic, physical and technological resources when implementing the diffuse detection and fault diagnosis system.