2009 · 37 citations · 3 references
EngineeringMechanical EngineeringSystems EngineeringActuatorsAutomationAvionicsActuator DiagnosticsCondition MonitoringElectromechanical SystemsHealth Monitoring SystemsActuator Health MonitoringActuator TestingAnalytical ModelsHybrid PrognosticsIntegrated Vehicle Health ManagementModel-based Health MonitoringPrognosticsSystem Health Monitoring
Expanded deployment of electro‑mechanical actuators in critical applications has spurred interest in EMA prognostic health management, a key technology for condition‑based maintenance. This paper outlines two EMA research programs undertaken by Impact Technologies and NASA Ames to support NASA’s Integrated Vehicle Health Management initiatives. The projects combine experimental test‑stand development, laboratory fault testing, and physics‑based modeling to create a hybrid virtual‑sensor algorithm and software toolkit for aircraft EMA prognostics. The first effort produced an electro‑mechanical actuator test stand for the NASA Ames Prognostics Center of Excellence.
Expanded deployment of Electro-Mechanical Actuators (EMAs) in critical applications has created much interest in EMA Prognostic Health Management (PHM), a key enabling technology of condition based maintenance (CBM). As such, Impact Technologies, LLC is collaborating with the NASA Ames Research Center to perform a number of research efforts in support of NASA's Integrated Vehicle Health Management (IVHM) initiatives. These efforts have combined experimental test stand development, laboratory seeded fault testing, and physical model-based health monitoring in a comprehensive PHM system development strategy. This paper discusses two closely related EMA research programs being conducted by Impact and NASA Ames. The first of these efforts resulted in the creation of an electro-mechanical actuator test stand for the Prognostics Center of Excellence at the NASA Ames Research Center. The second effort is ongoing and is utilizing physics-based modeling techniques to develop an algorithm and software package toolset for PHM of aircraft EMA systems using a hybrid (virtual sensor) approach.
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