Intelligent Sensor Systems

Nokomis proposes a real-time system to perform multi-node abnormality detection and identification in conjunction with wireless sensor development for propulsion system monitoring. The abnormality detection and identification will be achieved by extending Nokomisrsquo; high-sensitivity Hiawatha radio frequency (RF) detection technology.Typical motor conditions detected with Electromagnetic Interference (EMI) Diagnostics can include stator coil partial discharge, deterioration in slots and on end, winding contamination (dirt, oil, carbon black), bearing problems, misalignment, and shaft oil seal rub. Very low levels of arcing can be detected by high frequency analysis of a wide band antenna signal (and magnetic field probe) using a matched filter model. A single measured variable (RF signal) is sufficient to characterize the degrees of arcing in the DC motor.During the Phase I period, Nokomis and STTR partner will study and select the motors and actuators best suited to be analogous to propulsion systems of spacecraft. Nokomis will examine, consider and propose optimal locations for placement of near-field or far-field antennas, including antenna size and coaxial cable routing. Vibration and RF signals will be simultaneously recorded during evaluation of the representative propulsion and RF communication environment. The data sets will be analyzed at Nokomis facility for signature identification, isolation, and correlation between vibration signatures and RF signatures at subsequent tasks. Interaction between the Nokomis and STTR partner will verify the temporal and spectral qualities of the signals to create close connections with the underlying physical environments that the sensors aim to characterize.During the future Phase II period, Nokomis will develop and prototype the wireless sensor that is designed based on Phase I results. The sensor development will be in conjunction with Nokomisrsquo; high-sensitivity Hiawatha RF detection technology.