Fault tolerant measurement system based on takagi-sugeno fuzzy models for a gas turbine in a combined cycle power plant. http://dx.doi.org/10.1016/j.fss.2011.02.011

Abstract

A fault tolerant measurement system for a gas turbine in a combined cycle power plant, based on dynamic models, principal component analysis (PCA) and Q test, is presented. The proposed scheme makes use of a model-based symptom generator, which delivers fault signals obtained using direct identification of parity relations and structured residuals. Symptoms are then analyzed in a statistical module for fault diagnosis and reconstruction of the faulty signals. The scheme is able to detect faults in both input and output sensors due to its particular structure. Tests carried out on the gas turbine of the San Isidro combined cycle power plant in the V Region, Chile, show that Takagi-Sugeno fuzzy models presents the best fitting performance and an acceptable computational cost in comparison with autoregressive exogenous, state-space, and neural models. Real time software based on this scheme has been developed and connected to Osisoft PI System. The software is running at Endesa Monitoring and Diagnosis Center in Santiago, Chile.