JOURNAL ARTICLE

Wireless Sensor Network Technology for Vibration Condition Monitoring of Mechanical Equipment

Shan WangRanjeet YadavR. RaffikJyoti BholaManik RakhraJulian L. WebberAbolfazl Mehbodniya

Year: 2023 Journal:   Istanbul University - Journal of Electrical & Electronics Engineering Vol: 23 (2)Pages: 366-375

Abstract

The application of wireless sensor networks in mechanical equipment condition monitoring is proposed to make up for the limitations of wired mechanical equipment condition monitoring systems. To record vibration signals from mechanical equipment, it is essential to design a dual-processor wireless sensor network node. Researching the self-organizing network, wireless transmission protocol, and on-chip processing function is also important to develop a full wireless sensor network mechanical vibration monitoring system. The clustering network topology, which is advantageous for applying distributed algorithms, has good scalability, can quickly adapt to system changes, and is appropriate for large-scale networks. Through the design of high-performance vibration measurement nodes, the problem of limited acquisition and storage capacity when a wireless sensor network is applied to mechanical vibration signal acquisition is preliminarily solved. The experimental results show that the time domain signal collected by the node is small, and the corresponding amplitude will be small, but the on-chip processing results of the node correspond to the processing results of the host computer, and the amplitude difference is small, and the maximum error is 8.18%, indicating that the node performance can meet the requirements of on-chip processing. The feasibility of the design scheme is verified by experiments. Cite this article as: S. Wang, et al. "Wireless sensor network technology for vibration condition monitoring of mechanical equipment," Electrica, 23(2), 366-375, 2023

Keywords:
Wireless sensor network Vibration Wireless Mechanical vibration Computer science Engineering Telecommunications Computer network Acoustics Physics

Metrics

10
Cited By
2.49
FWCI (Field Weighted Citation Impact)
0
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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