JOURNAL ARTICLE

Vibration State Monitoring of Mechanical Equipment Based on Wireless Sensor Network Technology

Yuhua PengYing WangR. RaffikVishal JagotaKomal Kumar BhatiaRavi KumarNithiyananthan Kannan

Year: 2022 Journal:   Istanbul University - Journal of Electrical & Electronics Engineering Vol: 22 (3)Pages: 428-437

Abstract

In recent years, my country’s smart grid has developed rapidly and is safe and stable operation of the power grid system; it is related to the healthy development of the national economy and stable life of the people. Most of the current vibration monitoring systems use wired ICP piezoelectric acceleration sensors to collect the vibration of the transformer tank wall, on-site live monitoring, and safety, but there are many inconveniences and problems. The author designed a vibration-sensing element based on the latest Micro-electromechanical systems (MEMS), a vibration sensor for wireless communication with ZigBee, applied in the online monitoring of a 110 kV three-phase power transformer in operation, and adopted wired and wireless sensor modes, respectively, to monitor and compare waveforms. The wired sensor used in the test is an ICP sensor, and its sensitivity is 500 mV/g. It can be used in a multi-vibration measuring point wireless network to monitor the surface vibration of the power transformer tank. In the waveform graph collected by wireless sensor, it can be observed that the waveform presents a periodic law, and it can be observed from the spectrogram that the energy is concentrated on the frequency multiplier of 50 Hz, which conforms to the vibration law of the transformer. Cite this article as: Y. Peng, et al. “Vibration state monitoring of mechanical equipment based on wireless sensor network technology,” Electrica, 22(3), 428-437, 2022.

Keywords:
Wireless sensor network Vibration Wireless State (computer science) Mechanical vibration Engineering Computer science Electrical engineering Telecommunications Computer network Acoustics Physics

Metrics

9
Cited By
1.19
FWCI (Field Weighted Citation Impact)
0
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Wireless Sensor Networks and IoT
Physical Sciences →  Engineering →  Control and Systems Engineering

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