Finally, those in attendance we will help execute the new classifier in a simulator to review the online analysis process. The extensible workbench provides researchers and engineers a means to develop, execute, test, visualize, and evaluate various signal processing, feature extraction, and classification algorithms in an offline environment for later online analysis of system health and fault detection.Īttendees will have the opportunity to decide which classifier and supporting features to use, and they will utilize the visualization capabilities to identify some relevant characteristics in the signals that may indicate mechanical faults. This demonstration will use an Analytical Signal Processing Workbench to identify and characterize faults in complex mechanical systems. Title: An Analytical Signal Processing Workbench for Managing Mechanical System Health Presenter: Daniel Stouch, Principal Software Engineer, Charles River Analytics Inc. Additional SAW sensor capabilities and the potential for application in health management systems will be discussed.Īttendees will have the opportunity to operate the sensor system via the software interface, to heat and cool individual sensors to observe changes in measured temperature, and to remove or add sensors to the field of view (to observe automatic system detection). The system will also identify sensors in the target group that are missing from the field of view. A prototype wireless interrogation system capable of reading the set of sensors and interpreting individual sensor responses will be used. This demonstration will focus on the development, operating principles, and experimental operation of a set of uniquely identifiable, wirelessly interrogable, passive surface acoustic wave (SAW) temperature sensors. Hines, President, Applied Sensor Research & Development Corporation. Title: Passive Wireless SAW Temperature Sensor System Presenter: Dr. Jim Larkin, Aerojet Rocketdyne, Walthall, UTC Aerospace Systems, Demontration Topic Details Presented by Douglas Brown, Analatom, Inc. Corrosion Health Monitoring System (CHMS) for PHM.Presented by Jeff Demo, Luna Innovations Incorporated Aircraft Structural Health Monitoring Through Embedded Corrosion Sensing.Lesmerises, StandardAero Engineering Services A Statistically-Based Approach to Maintenance Optimization.Michael Usrey, Sporian Microsystems, Inc. Smart, Ultra Low Power, Wired and Wireless Sensor Suites for PHM.Presented by Preston Johnson, Global Program Manager, National Instruments Modular COTS Hardware and Software for Fielding Prognostics Systems.Presented by Nick Frankle, Director, System Health Management, Frontier Technology, Inc. NormNet® PHM Prognostic and Health Management Software.Presented by Daniel Stouch, Principal Software Engineer, Charles River Analytics Inc.
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