Efficient Frequency Bandwidth Limitation for Wireless-Based Ultrasonic Data Collection Systems
Author:
Affiliation:
1. Kyushu Institute of Technology
Publisher
Research Institute of Signal Processing, Japan
Link
https://www.jstage.jst.go.jp/article/jsp/28/4/28_129/_pdf
Reference10 articles.
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3. [3] C. Takano et al.: Development of wireless communication system for reliable acoustic data collection toward anomaly detection on mechanical equipment, The 8th Annual Conf. on Computational Science & Computational Intelligence (CSCI'21), Dec. 2021.
4. [4] R. Shigyo et al.: Study of ultrasonic data collection system for anomaly detection on mechanical equipment, The 9th Annual Conf. on Computational Science & Computational Intelligence (CSCI'22), Dec. 2022.
5. [5] G. Antonio Susto et al.: Machine learning for predictive maintenance: A multiple classifier approach, IEEE Transactions on Industrial Informatics, Vol. 11, Issue 3, pp. 812-820, Jun. 2015.
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