Project Overview

A localized information processing approach for long-term, online structural health monitoring (SHM) using wireless sensor networks (WSNs). Based on the Zigbee protocol, each sensor independently calculates a statistical damage-sensitive coefficient using the measured acceleration data during each monitoring period. A nonlinear programming formulation is developed to identify damage presence, localize damage position, and quantify damage severity from the damage-sensitive coefficients in the whole sensing field. By limiting each sensor to exchange information among its neighboring sensors only, a localized near-optimal algorithm is proposed to reduce communication costs, thus alleviating the channel interference and prolonging the network lifetime.

Research Methodology

Test Bed Features

Case Study

Analysis Methods

FFT Based Analysis

FFT comparison of IMFs of healthy and degraded parts showing pronounced frequency for healthy and diversified frequencies in the degraded part

HHT Based Analysis

​Particle Filter based Prognostic Approach for Remaining Useful Life

​Prediction

Prognosis Results

Achievements - Repair Maintenance

On-site maintenance activity

Completion of funded HEC Project