Useful lifetime tracking via the IMM

Ethan Phelps; Peter K. Willett; Thiagalingam Kirubarajan

doi:10.1117/12.475504

16 July 2002 Useful lifetime tracking via the IMM

Ethan Phelps, Peter K. Willett, Thiagalingam Kirubarajan

Proceedings Volume 4733, Component and Systems Diagnostics, Prognostics, and Health Management II; (2002) https://doi.org/10.1117/12.475504
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Inference of the expected time-to-failure is made difficult by the need to track and predict the trajectories of real-valued system parameters over essentially unbounded domains, and by the need to identify a subset of these domains that refers to a state of unsafe operation. In a previous paper we proposed a novel technique whereby these problems are avoided: instead of physical system or sensor parameters, sensor-level test-failure probability vectors (bounded within the unit hypercube) are tracked; and via a close relationship with the TEAMS suite of modeling tools, the terminal states for all such vectors can be enumerated. In that paper a full-dimension Kalman filter and IMM (interacting multiple model) tracking solution was proposed, but results were preliminary. In this paper we continue, modify, and provide reasonably convincing results.

Citation Download Citation

Ethan Phelps, Peter K. Willett, and Thiagalingam Kirubarajan "Useful lifetime tracking via the IMM", Proc. SPIE 4733, Component and Systems Diagnostics, Prognostics, and Health Management II, (16 July 2002); https://doi.org/10.1117/12.475504

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