Advances in sensors, system predictive modeling techniques and computer technology have allowed the possibility of real time monitoring, prognostics, and control of sophisticated engineering systems.

TSi is applying our signal processing and control systems expertise to gas turbine engines. Working with General Dynamics Advanced Information Systems (GDAIS) and Dr. Jim Paduano from the MIT Gas Turbine Lab, TSi has been focusing on developing algorithms for the monitoring and prevention of blade vibration and stall using a minimal number of GDAIS Eddy Current Sensors (see figure). Test of the algorithms for stall and vibration detection are scheduled at NASA Glenn during 2003.

In a new Phase II SBIR project funded by the National Science Foundation (NSF), TSi will be developing algorithms for the detection of blade damage. Undetected turbine blade damage, such as chipping or cracking due to excessive vibration or damage from objects ingested through the engine, has been the cause of numerous accidents. “These types of accidents could be prevented with the use of a sophisticated in flight monitoring system,” said Dr. Carole Teolis, Vice-President of Systems Engineering and Principal Investigator on the NSF projects.