Enabling human HUMS with data modeling

Holger M. Jaenisch; James W. Handley; Kristina K. Jaenisch; Michael L. Hicklen

doi:10.1117/12.666454

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19 May 2006 Enabling human HUMS with data modeling

Holger M. Jaenisch, James W. Handley, Kristina K. Jaenisch, Michael L. Hicklen

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Proceedings Volume 6218, Chemical and Biological Sensing VII; 62181A (2006) https://doi.org/10.1117/12.666454
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

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Holger M. Jaenisch, James W. Handley, Kristina K. Jaenisch, and Michael L. Hicklen "Enabling human HUMS with data modeling", Proc. SPIE 6218, Chemical and Biological Sensing VII, 62181A (19 May 2006); https://doi.org/10.1117/12.666454

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