![]() Innovative System Maintenance Approaches.System Identification Processes to Support Health Management Goals.Sensors and sensor Integration for Health Management.Invited topics included, but were not limited to: Parameters such as sensor polling frequency and alarm threshold will be interactively varied. The demonstration will be fully interactive including temperature and humidity measurements, inertial measurements, and over-the-air programming of smart-sensor parameters. (The demonstration will feature an operating network of wired and wireless PHM sensor suites and a gateway computer to display and visualize collected PHM data. The Smart, Ultra Low Power, Wired and Wireless Sensor Suites for PHM demonstration is provided by Sporian Microsystems, Inc.Modular hardware components and a source code framework are reviewed to describe the COTS components used. Signal processing options for feature extraction are also shown. The Modular COTS Hardware and Software for Commercialization of Prognostics Systems demonstration is provided by National Instruments (It illustrates a COTS platform for integrating a prognostics system.We will connect remotely to the testbed at NASA Ames to show a real-time demonstration of fault injection and on-line diagnosis using Hybrid Diagnosis Engine (HyDE), a diagnostic algorithm developed by researchers at Ames. This demonstration will give an overview of the testbed hardware, software, and datasets. The EPS Testbed provides a means for evaluating diagnostic algorithms through the controlled insertion of faults in repeatable failure scenarios. The Electrical Power System (EPS) Testbed demonstration is provided by NASA Ames Research Center (prognostics.nasa.gov).The data collection & analysis, diagnostic, and prognostic calls will be handled by the central control station. The signals captured by these strain/stress sensors and damage sensors will be wirelessly communicated to the central control station. Two types of SHM sensors (strain gauge and acoustic emission sensor) will be used. The Inherently Conductive Polymer (ICP) Based Structural Health Monitoring (SHM) Sensing System demonstration is provided by Crosslink (The ICP based SHM sensing system is composed of SHM sensors, a wireless transmission module, and central control station.Output of the functional model (various sensor sets and diagnostic rules associated which each individual sensor set solution) will be demonstrated on the fuel rig. ![]() ![]() The system under investigation is a UAV type of fuel system test rig capable of producing high quality data for normal and five abnormal scenarios (a clogged filter, a degraded pump, a stuck valve, a leaking pipe, and a clogged nozzle).The demonstration will be focused on usage of physical and functional analysis for development of fuel system health management solutions. This demonstration will showcase the IVHM CoE approach in the development of health management solutions for high-tech high value assets using COTS tools. The Cranfield University IVHM Center of Excellence (CoE) will present Use of Physical and Functional Approach as IVHM Design Tools for Detection and Isolation of UAV Fuel System Faults.Since the group sizes are restricted to small, demonstrations are conducted several times and time slots to attendees are allotted first come first serve on the sign-up sheet. Due to limited space, attendees must sign-up at the conference registration desk. Each demo is planned for approximately 30 minutes. There are five demonstrations from which to choose (see below for details). PHM Society 2012 Technology Demonstration Sign-Up ProcessĪll conference attendees are invited to attend interactive, hands-on hardware demonstrations. Each tutorial will last for approximately 30 minutes where attendees will be allowed to ask questions. Multiple daily demonstrations will be given as hands-on tutorials to small groups. The concept of the demonstrations is to offer a hands-on learning experience for attendees. The PHM Society provides an opportunity for participants to show off their diagnostic and prognostic engineering approaches through PHM technology demonstrations.
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