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Proceedings Paper

Enabling human HUMS with data modeling
Author(s): Holger M. Jaenisch; James W. Handley; Kristina K. Jaenisch; Michael L. Hicklen
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Paper Abstract

We simulate a notional Navy SEAL rebreather diver on an extended mission using Model Predictive Control (MPC) theory. A mathematical framework for enabling physiological HUMS (Health Usage Management Systems) is shown. A rebreather simulation is used to derive MPC baseline Data Models of diver status by converting the simulation first into differential equations and then into lookup tables (LUT). When abnormal readings are indicated, sensor data from the diver is published to the ad hoc network, enabling intermittent upload. Mission success confidence is updated and determined during the mission. A novel method of converting MPC Data Models into lookup tables worn by the diver is given.

Paper Details

Date Published: 19 May 2006
PDF: 12 pages
Proc. SPIE 6218, Chemical and Biological Sensing VII, 62181A (19 May 2006); doi: 10.1117/12.666454
Show Author Affiliations
Holger M. Jaenisch, James Cook Univ. (Australia)
Technical Dive College (United States)
dtech Systems, Inc. (United States)
James W. Handley, James Cook Univ. (Australia)
Technical Dive College (United States)
Kristina K. Jaenisch, Technical Dive College (United States)
Michael L. Hicklen, dtech Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 6218:
Chemical and Biological Sensing VII
Patrick J. Gardner; Augustus W. Fountain III, Editor(s)

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