Implementation of decentralized damage localization in wireless sensor networks
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Implementation of Decentralized Damage Localization in Wireless Sensor Networks. Fei Sun Master Project Advisor: Dr. Chenyang Lu. Wireless Sensor Network. Tmote Sky. Mica2 & Mica2dot. Stargate. Intel iMote. NMRC 25mm cube. Smart Dust. Structural Health Monitoring.

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Implementation of decentralized damage localization in wireless sensor networks

Implementation of Decentralized Damage Localization in Wireless Sensor Networks

Fei Sun

Master Project

Advisor: Dr. Chenyang Lu


Wireless sensor network
Wireless Wireless Sensor NetworksSensor Network

Tmote Sky

Mica2 & Mica2dot

Stargate

Intel iMote

NMRC 25mm cube

Smart Dust


Structural health monitoring
Structural Health Monitoring Wireless Sensor Networks

  • A Civil Engineering technique used to determine the condition of structures

    • e. g. buildings, bridges

  • Detect and localize damage using vibration sensors


Motivation and challenges
Motivation and Challenges Wireless Sensor Networks

  • Wired sensor deployment is expensive

  • Wireless deployments can be:

    • Cost efficient

    • Higher density

    • More flexible


Related work golden gate bridge
Related Work - Golden Gate Bridge Wireless Sensor Networks

GGB project by UC Berkley


Related work shimmer
Related Work - SHIMMER Wireless Sensor Networks

SHIMER project by theLos Alamos National Lab


Problem description
Problem Description Wireless Sensor Networks

  • Damage localization in addition to detection

  • Limited Resource on WSN node

    • Limited memory

    • Limited transmission bandwidth

    • Limited power supply

  • Unreliable wireless connectivity


Dlac algorithm
DLAC Algorithm Wireless Sensor Networks

Acceleration Data

FFT

Power Spectrum

Curve Fitting

Healthy Model

Damage Location

DLAC


System design
System Design Wireless Sensor Networks

2048 Samples @560Hz

(4KB Data)

Processing on motes

FFT

Processing on PC

2048 Samples in Frequency Domain

(8KB Data)

Coefficient Extraction

Power Spectrum

5x5 = 25 coefficients

(50 Bytes Data)

1024 Frequency Spectrums

(2KB Data)

Equation Solving

Curve Fitting

5 Natural Frequencies

(10Bytes Data)

Healthy Model

Damaged Location

DLAC


Implementation
Implementation Wireless Sensor Networks

  • Hardware

    • Intel Mote 2

      • 32-bit 416 MHz CPU

      • 32MB RAM

    • Intel ITS400 Sensor Board

      • LIS3L02DQ 3-Axis Accelerometer

  • Software

    • TinyOS

    • NesC

IMote2

ITS400 Sensor Board


Software architecture
Software Architecture Wireless Sensor Networks

  • Reliable data transmission done through ARQ

  • Average on the power spectrums to reduce noise

  • Often times, the sensor board driver crashes and never returns a sampleDone event

    • Time out timer used to detect and bypass such scenario


User control interface
User Control Interface Wireless Sensor Networks


The beam test
The Beam Test Wireless Sensor Networks

The beam structure

in the Earthquake Lab


Beam results
Beam Results Wireless Sensor Networks

  • Successful damage detection and localization for all damage scenarios

    • With correlation measurements >90% at the damaged positions

Damage Location #5

Damage Location #10

Damage Location #14


The truss test
The Truss Test Wireless Sensor Networks

The truss structure at UIUC


Truss results
Truss Results Wireless Sensor Networks

  • Successful damage detection and localization for all damage scenarios

    • With correlation measurements >85% at the damaged positions

Damage Location #3


Conclusion
Conclusion Wireless Sensor Networks

  • Design and Implementation of a SHM damage detection and localization technique on WSNs

    • correlation-based and decentralized

  • Successful damage localization for two sets of experiments

  • Future Work:

    • Debug sensor failure

    • Power Management


Appreciation
Appreciation Wireless Sensor Networks

  • Dr. Chenyang Lu

  • Dr. Shirley Dyke

  • Nestor Castaneda

  • WUSTL WSN Group

  • WUSTL Earthquake Lab

  • Dr. Tomonori Nagayama


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