Cited By
View all- Zhao JWang CXie LFeng YLu S(2024)Research on pedestrian counting based on millimeter waveCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-023-00145-66:1(82-100)Online publication date: 18-Feb-2024
MFD: Multi-object Frequency Feature Recognition and State Detection Based on RFID-single Tag
Authors: 
Biaokai Zhu, Zejiao Yang, Yupeng Jia, Shengxin Chen, Jie Song, Sanman Liu, Ping Li, Feng Li, Deng-Ao LiAuthors Info & Claims
Article No.: 25, Pages 1 - 26
Abstract
Vibration is a normal reaction that occurs during the operation of machinery and is very common in industrial systems. How to turn fine-grained vibration perception into visualization, and further predict mechanical failures and reduce property losses based on visual vibration information, which has aroused our thinking. In this article, the phase information generated by the tag is processed and analyzed, and MFD is proposed, a real-time vibration monitoring and fault-sensing discrimination system. MFD extracts phase information from the original RF signal and converts it into a Markov transition map by introducing White Gaussian Noise and a low-pass filter for denoising. To accurately predict the failure of machinery, a deep and machine learning model is introduced to calculate the accuracy of failure analysis, realizing real-time monitoring and fault judgment. The test results show that the average recognition accuracy of vibration can reach 96.07%, and the average recognition accuracy of forward rotation, reverse rotation, oil spill, and screw loosening of motor equipment during long-term operation can reach 98.53%, 99.44%, 97.87%, and 99.91%, respectively, with high robustness.
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Index Terms
- MFD: Multi-object Frequency Feature Recognition and State Detection Based on RFID-single Tag
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November 2023
194 pages
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Association for Computing Machinery
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Publication History
Published: 30 November 2023
Online AM: 24 August 2023
Accepted: 25 July 2023
Revised: 06 April 2023
Received: 24 October 2022
Published in TIOT Volume 4, Issue 4
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- Research-article
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- Intelligent Policing Key Laboratory of Sichuan Province
- Basic Research Plan of Shanxi Province
- Virtual Teaching and Research Office of Cyber Security (BJPC) of Ministry of Education
- Anhui Natural Science Foundation
- Shanxi Provincial Higher Education Teaching Reform and Innovation Project, Teaching Reform Project of Shanxi Police College
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View all- Zhao JWang CXie LFeng YLu S(2024)Research on pedestrian counting based on millimeter waveCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-023-00145-66:1(82-100)Online publication date: 18-Feb-2024
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