THE HEALTH AND INTEGRITY OF AIRCRAFT SENSORS PLAY A CRITICAL ROLE IN AVIATION SAFETY. UNFORTUNATELY, INACCURATE OR FALSE READINGS FROM THESE SENSORS CAN LEAD TO IMPROPER DECISION-MAKING RESULTING IN SERIOUS AND SOMETIMES FATAL CONSEQUENCES. THE RESEARCH PERFORMED IN PHASE I DEMONSTRATED THE FEASIBILITY OF USING ADVANCED DATA ANALYSIS TECHNIQUES TO IDENTIFY ANOMALIES IN PITOT TUBES RESULTING FROM BLOCKAGE SUCH AS ICING, MOISTURE, OR FOREIGN OBJECTS. THE CORE TECHNOLOGY USED IN THIS PROJECT IS REFERRED TO AS "NOISE ANALYSIS" SINCE IT RELATES A SENSOR'S RESPONSE TIME TO THE DYNAMIC COMPONENT (NOISE) FOUND IN THE SIGNAL OF THESE SAME SENSORS. THIS ANALYSIS TECHNIQUE HAS USED EXISTING ELECTRICAL SIGNALS OF PITOT TUBE SENSORS THAT RESULT FROM MEASURED PROCESSES DURING IN-FLIGHT CONDITIONS AND/OR INDUCED SIGNALS IN PRE-FLIGHT CONDITIONS TO DETECT ANOMALIES IN THE SENSOR READINGS.