Abstract
In a previous paper (Hansen et al., 1995), a conceptual framework for developing a true prognostic or predictive diagnostic capability was described. The current paper expands on this framework by describing micro-mechanical and dynamic models, sensors and data fusion, signal processing, approximate reasoning, distributed architecture, and human factors research and development being conducted to provide such a capability for a broad range of applications. These include both autonomous and man-in-the-loop decision making about maintenance actions and local and geographically distributed monitoring and data analysis architectures.
Original language | English (US) |
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Journal | American Society of Mechanical Engineers (Paper) |
State | Published - Jan 1 1996 |
Event | Proceedings of the 1996 International Gas Turbine and Aeroengine Congress & Exhibition - Burmingham, UK Duration: Jun 10 1996 → Jun 13 1996 |
All Science Journal Classification (ASJC) codes
- Mechanical Engineering