Structural health monitoring of a footbridge using Echo State Networks and NARMAX
نویسندگان
چکیده
منابع مشابه
Damage detection and structural health monitoring of ST-37 plate using smart materials and signal processing by artificial neural networks
Structural health monitoring (SHM) systems operate online and test different materials using ultrasonic guided waves and piezoelectric smart materials. These systems are permanently installed on the structures and display information on the monitor screen. The user informs the engineers of the existing damage after observing signal loss which appears after damage is caused. In this paper health...
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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...
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Echo state networks are simple recurrent neural networks that are easy to implement and train. Despite their simplicity, they show a form of memory and can predict or regenerate sequences of data. We make use of this property to realize a novel neural cryptography scheme. The key idea is to assume that Alice and Bob share a copy of an echo state network. If Alice trains her copy to memorize a m...
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ژورنال
عنوان ژورنال: Engineering Applications of Artificial Intelligence
سال: 2017
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2017.05.014