An Advanced Modeling, Monitoring, and Predicting System for the Joint Strike Fighter

Prognostics and Health Management (PHM) for the Joint Strike Fighter (JSF) is envisioned as a comprehensive system for detecting and isolating failures, recommending condition-based maintenance (CBM), and estimating the remaining useful life (RUL) of critical components. Barron Associates, Inc. (BAI) has teamed with Lockheed Martin Aeronautics Company (LM Aero) to propose an SBIR program that leverages a decade of jointly developing fault-tolerant controls and identification technologies. This SBIR program will result in a comprehensive fault and failure anomaly detection and isolation system that brings together flight-tested algorithms developed by BAI for online, real-time parameter identification and generic algorithms developed by BAI for fault detection and isolation (FDI) in any complex dynamical system. BAI presents three crucial technologies that will form a solid foundation for the development of advanced modeling, monitoring, and predicting technology for the JSF: (1) a robust algorithm for identification of model parameters; (2) innovative, model-based FDI algorithms employing statistical change detection techniques; and (3) prognostic algorithms that predict the remaining useful life (RUL) for system components. In Phase I, BAI will evaluate the performance of these algorithms operating in a realistic JSF simulation provided by LM Aero.