Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation

Damage Recognition for Structural Health Monitoring

In the field of structural health monitoring, researchers focus on the design of systems and techniques capable of detecting damage in structures. However, it is difficult to develop robust detection schemes that are invariant to environmental and operational conditions. In this report, we investigate several signal processing and machine learning techniques for developing such robust systems. ...

Damage indicator defined as the distance between ARMA models for structural health monitoring

A new damage indicator denoted by the distance between ARMA models is proposed in this paper to identify structural damage including its location and severity. Two definitions are introduced as the distance, either the cepstral metric or subspace angles of ARMA models. However, the accuracy is deteriorated when the multiple inputs have strong correlations. To overcome this difficulty, a pre-whi...

Wireless structural health monitoring system

Structural Health Monitoring with Wireless Sensor Networks

Nowadays sustainability for both old and new buildings becomes more and more important. Therefore non-destructive test methods are of high interest. Non-destructive test methods are used for quality control of construction materials, inspection and analysis of materials or structures and are used for continuous monitoring of large constructions. A multitude of characteristic values of building ...

Structural Health Monitoring Using Wireless Sensor Networks

Structure monitoring brings new challenges to wireless sensor network: high-fidelity sampling, collecting large volume of data, and sophisticated signal processing. New accelerometer board measures tens of G acceleration. High frequency sampling is enabled by new component of David Gay. With new component, up to 6.67KHz sampling is possible with jitter less than 10s. Large-scale Reliable Transf...