A Two Stage Data Fusion Strategy for False Alarm Mitigation in Propulsion Health Management (PHM) Systems

Scientific Monitoring, Inc. (SMI) proposes a novel two-stage comprehensive strategy for fault diagnosis for the purpose of reducing the occurrence of No Fault Found (NFF) events in Propulsion Health Management (PHM) activities. The strategy includes modeling and algorithmic elements that account for uncertainty at two distinct stages in the fault detection process: (a) anomaly detection, and (b) information/decision fusion. The Phase I contract will develop the strategy into a software prototype and assess the prototype using a combination of simulation-based validation testing and experimental validation from actual engine flight data.