USC CBM Fundamental Research has been committed to define and develop a roadmap, methodologies and processes that support CBM objectives and provides critical input for the path ahead as the U.S. Army moves towards CBM. USC research progresses to show the historical data/work (TAMMS-A, HUMS, DCR data collection and analysis, health monitoring systems) would be integrated with measurements from testing to develop/refine diagnosis and prognosis algorithms, and remaining life predictions. USC's data server, which is capable of holding nearly 2 terabytes of historical data, is a state of the art data processing center designed to help identify common maintenence practices, and, using in-house developed algorithms, find correlations between tests and experimental data.
Analysis of such data is a continually refining process, and as time passes, the benefiits of such algorithms will increase exponentially.
This program of research seeks to deliver results and work which contribute to CBM efforts and objectives as follows:
- Link and integrate the eight years of HUMS and TAMMS-A data with test measurements to quantify the value of each data/measurement field to CBM concept,
- Understand the physics and the root causes of faults of components or systems,
- Explore options and/or models for early detection of faults, and
- Develop models to predict remaining life of components and /or systems.