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Balaban Gives Stanford Prognostic Health Management Research Talk

Edward Balaban, a researcher with the Diagnostics & Prognostics Group of the Discovery and Systems Health (DaSH) research area, was invited to give a talk to the Space Environment and Spacecraft Systems (SESS) Group at the Stanford University Department of Aeronautics & Astronautics. The talk was organized by Professor Sigrid Close, head of the SESS Group, and took place on January 25, 2011.

The first part of the talk covered diagnostic and prognostic background topics, including general goals of prognostic health management (PHM) research, diagnostic and prognostic concepts in the context of aerospace vehicle health management, applications of PHM, and PHM activities and projects at NASA Ames.

The second part of the talk focused on describing the typical flow of model-based PHM research using electro-mechanical actuators and included faults and effects analysis; physical modeling; simulation; experimental data collection; development of algorithms for fault diagnosis, prognosis, uncertainty management, decision-making, and remediation; and Verification and Validation (V&V) of simulated/experimental data.

The talk concluded with a description of electro-mechanical actuator PHM flight experiments on UH-60 helicopters at NASA Ames. A question-and-answer period followed the talk, where questions from the audience ranged from experiment design details to applicability of developed PHM methods to spacecraft systems. Follow-up discussion centered on avenues of collaboration between the SESS, the Diagnostics & Prognostics Group, and other NASA Ames groups interested in the topic of Vehicle Health Management.

BACKGROUND: The Diagnostics and Prognostics group investigates system health management technologies relevant to NASA missions. Diagnostics focuses on developing model-based technology for detection and identification of discrete and continuous faults. Diagnostics is also researching advances for Bayesian Belief Nets and metrics to aid in the benchmarking and comparison of different diagnostic algorithms. Prognostics investigates damage detection and damage propagation mechanisms on select safety-critical actuators for transport-class aircraft, and damage propagation mechanisms for critical electrical and electronic components in avionic equipment. Prognostics is also researching comparative analysis of different prognostic algorithms and metrics to compare different prognostic approaches, as well as decision-making that takes prognostic information into consideration for advanced reconfiguration strategies.

Contact: Edward Balaban

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