ISSN:
1662-8985
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Analatom, Inc. is developing the Structural Health Monitoring (SHM) system using itsLinear Polarization Resistance (LPR) corrosion sensors combined with a Texas InstrumentsMSP430 microprocessor for lower weight, lower power, higher sensitivity, and lower cost thanconventional sensor systems. The system provides both strain and corrosion measurements in apackage a few mils thick. This combination of data provides critical assessment of structuralhealth, leading to prediction of failure. The MEMS sensors are permanently installed in a highvaluedstructure, such as a building, bridge or aircraft, and are connected to a data acquisition node.Data transmission and downloading uses a MaxStream ZigBee/IEEE 802.15.4 compliant chip for awireless, self-organizing network that has low power requirements. The sensor network provides alow-cost, non-intrusive way to detect failures, or to signal ahead of time that preventativemaintenance needs to be undertaken to prevent future more expensive replacement.Analatom, Inc. has developed the basic technology for a Portable Maintenance Support Tool(PMST). The device is unique and novel in that it uses a Micro Controller Unit in a handhelddevice to perform data analysis whilst maintaining a link with a Personal Computer based databasefor further support. The handheld prototype with a Liquid Crystal Display (LED) touch screenGUI takes readings from a variety of sensors and transfers the data wirelessly to a central PC hub.The handheld unit using the downloaded data from the sensor network can then provide a graphicdisplay and additionally transfer those data to a workstation for further data analysis. Analatom,Inc. builds on its corrosion system platform (sensors, data acquisition unit, data storage) to developa multiplexed system to obtain data from a variety of sensors, while further developing real timeintelligent algorithms to monitor corrosion rates
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/40/transtech_doi~10.4028%252Fwww.scientific.net%252FAMR.38.123.pdf
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