Hardware Demonstrations

Hardware Demonstrations

The Prognostics and Health Management Society invites you to attend an interactive, hands-on hardware demonstration. There are seven demonstrations from which to choose. Each demo is planned for approximately 30 minutes. Due to limited space, attendees must sign-up at the conference registration desk. The setup time is on Monday, September 26, 2011 from 1:00 – 5:00 PM and the tear-down is on Thursday, September 29, 2011 from 12:00 – 3:00 PM.

PHM Society 2011 Hardware Demonstration Summaries


Valve Prognostics for Propellant Loading Systems
Matthew Daigle (NASA Ames Research Center, USA), www.arc.nasa.gov
Tue 9/27 4:15PM–5:00PM,
Thu 9/29 8:00AM–8:45AM
This is a software demonstration of model-based prognostics algorithms applied to pneumatic valves of Space Shuttle liquid hydrogen propellant loading systems. Real valve degradation data, along with simulated data are used to estimate the damage progression over several failure modes, converge on the actual manifested failure mode, and make end of life and remaining useful life predictions.
Open System Architecture for Condition Based Maintenance (OSA-CBM) Software Design for a Gearbox Condition Monitoring
T. Sreenuch, I. Jennions and A. Tsourdos (Cranfield University, UK), www.cranfield.ac.uk
Tue 9/27 9:15AM–10:00AM,
Wed 9/28 1:30PM–2:15PM
This demonstration aims to showcase the Integrated Vehicle Health Management (IVHM) centre approach in the development of reusable algorithms and their integration into Health Monitoring (HM) systems. Gear faults are simulated using two sets of replaceable pinion gear, one with a chipped tooth, and the other with a broken tooth. The OSA-CBM software is used to host the algorithms, format the data and coordinate the real-time fault detection data process.
A Testbed for Real-Time Autonomous Vehicle PHM and Contingency Management Applications
Liang Tang (Impact Technologies, USA), www.impact-tek.com
Tue 9/27 10:30AM–11:15AM,
Wed 9/28 2:15PM–3:00PM
This demonstration presents a robotic test bed created for the purpose of developing and evaluating real-time PHM and Automated Contingency Management (ACM) techniques on autonomous vehicles. The test bed uses an unmanned ground vehicle (UGV) modified to facilitate the simulations of fault modes and mission-level applications.
Modular COTS Hardware and Software for Commercialization of Prognostics Systems
Preston Johnson (National Instruments, USA), www.ni.com
Tue 9/27 11:15AM–12:00PM,
Wed 9/28 3:30PM–4:15PM
This demonstration illustrates a COTS platform for integrating a prognostics system. Signal processing options for feature extraction are also shown. Modular hardware components and a source code framework are reviewed to describe the COTS components used.
MicroMonitor System
Cody Hinnant (StandardAero - Engineering Services, USA), www.standardaero.com
Tue 9/27 1:30PM–2:15PM,
Wed 9/28 4:15PM–5:00PM
The system is a new and unique sensor designed to detect and record operational time and cycles of gas turbine engines and engine accessories. It makes use of piezoelectric energy harvesting material tuned to the frequency of its host (RPM of a turbine engine for example) to generate electricity to power the internal circuits and data storage. The demonstration will cover the monitor operation, data capture, data download/upload and manipulation of the data to cover the full spectrum of the MicroMonitor system.
Composite Structure Damage Detection
Seth Kessler (Metis Design, USA), www.MetisDesign.com
Tue 9/27 8:30AM–9:15AM,
Tue 9/27 2:15PM–3:00PM
Real-time damage detection is performed on an aerospace composite structure using a digital sensor network. Data is wirelessly transferred to a laptop, and a diagnostic visualization of the damage is displayed. A single damage event is detected, as well as multiple damage events introduced simultaneously.
Guided Wave Ultrasonic Detection with Removable Re-usable Flexible Transducer Panel
Indu Saxena (Intelligent Optical Systems, USA), www.intopsys.com
Tue 9/27 3:30PM–4:15PM,
Thu 9/29 8:45AM–9:30AM
The demonstration uses a large flexible panel of electromagnetic interference resistant fiber-optic Bragg grating transducers for guided wave ultrasonic (GWUS) detection on metal and composite specimens with portable instrumentation. Ultrasound imaging panels, with hands-off automated data-acquisition are demonstrated.
  
 
 
 

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