Fault Diagnosis of a Simulated Model of an Industrial Gas Turbine Prototype Using Identification Techniques

Fault tolerant control of a simulated hydroelectric system

“…7 shows that the development rate of these faults has been imposed equal to 5%. These incipient fault modes were already considered for the case of a gas turbine, as addressed in Patton, Simani, et al (2000). According to Fig.…”

“…The considered actuator fault f y is modelled by means of a ramp function, since it represents the case of a slowly developing fault, which can be quite hard to detect, as already considered e.g. in Patton, Simani, Daley, and Pike (2000).…”

“…by means of a ramp function. Also the maximum decrease in turbine flow rate is set nominally at 5%, while the fault development rate is set to 5% reduction of the rated flow rate per hour, similar to the scenario addressed in Patton, Simani, et al (2000).…”

Fault Diagnosis of an Industrial Gas Turbine Using Neuro-Fuzzy Methods

“…For simulation purposes we used a Simulink prototype model of such an industrial gas turbine, presented in (Patton and Simani, 1999) and developed at Alstom Power Technology Centre, United Kingdom. The SIMULINK prototype simulates the real measurements taken from the gas turbine with a sampling rate of 0.08s.…”

“…The objective of fault isolation is to determine if a fault has occurred and also the location of the fault, by analysing the residual vector. The problem of detecting and isolating faults to an industrial gas turbine was studied in other previous papers in the literature Patton et al 2000;Patton and Simani, 1999;Simani and Spina, 1998) using mainly observer based techniques. In this paper we investigate the problem of fault diagnosis of an industrial gas turbine using a neurofuzzy approach.…”