Abstract: A real-time diagnostic and fault detection system and method for a gas turbine engine under test in a test cell is disclosed. Sensor data from instrumentation coupled to the gas turbine engine are processed, using a physics-based component level aero-thermal model, to calculate a plurality of engine parameters at a plurality of non-instrumented locations within the gas turbine engine. The plurality of engine parameters are processed to detect when a fault exists and, when a fault does exist, an image is rendered that indicates at least a mostly likely cause for the fault and one or more corrective actions that can be taken to correct the fault. The model is also used to generate projections of engine performance at one or more selected test conditions, and to prognosticate, based on the projections, as to whether the gas turbine engine will actually pass at the one or more selected test conditions.

Abstract: A real-time diagnostic and fault detection system and method for a gas turbine engine under test in a test cell is disclosed. Sensor data from instrumentation coupled to the gas turbine engine are processed, using a physics-based component level aero-thermal model, to calculate a plurality of engine parameters at a plurality of non-instrumented locations within the gas turbine engine. The plurality of engine parameters are processed to detect when a fault exists and, when a fault does exist, an image is rendered that indicates at least a mostly likely cause for the fault and one or more corrective actions that can be taken to correct the fault. The model is also used to generate projections of engine performance at one or more selected test conditions, and to prognosticate, based on the projections, as to whether the gas turbine engine will actually pass at the one or more selected test conditions.