Original Article

Wireless Sensor Network Technology for Vibration Condition Monitoring of Mechanical Equipment


Jiaozuo University, College of Mechanical and Electronic Engineering, Jiaozuo, Henan, China


Government Polytechnic Daman, Varkund, Nani Daman, UT Administration of Dadra and Nagar Haveli & Daman and Diu, India


Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India


Electronics & Communication Engineering Department, National Institute of Technology, Hamirpur, India


Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India


Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), Doha, Kuwait

ELECTRICA 2023; 23: 366-375
DOI: 10.5152/electr.2023.22074
Read: 637 Downloads: 304 Published: 01 May 2023

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

EISSN 2619-9831