Development of Noise Reduction Methods for a Wireless Ultrasonic Structural Monitoring System

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Key Points

This research aims to overcome limitations of wired ultrasonic structural monitoring systems by developing a wireless, compact version with enhanced noise reduction methods.
Developed a wireless ultrasound monitoring system using Wi-Fi-based Arduino and ultrasound sensors.
Applied six types of filters, including Kalman filters, to reduce spike noise in ultrasonic measurements.
Utilized multilayer perceptron (MLP) combined with Gaussian filter and Bayesian optimization for improved prediction performance.
The MLP model combining five filters (U, K, E, S, G) achieved the lowest error rate in ultrasonic measurements.
Experimental validation with a prototype confirmed the effectiveness and reproducibility of the proposed noise reduction methods.

Study implements noise reduction techniques in an ultrasonic monitoring system, suggesting effective performance enhancements.

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Jung et al. (2026) studied this question.

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