Abstract
Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.
Highlights
Accepted: 7 June 2021Condition monitoring systems in nuclear power plants are critical for anomaly detection and management of operational transients and accidents [1,2,3]
We propose patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique enabling genuine selfsustainable operation
The operation of the PVV sensor probe follows that of a contact-separation mode triboelectric nanogenerator (TENG) [27,28,29]
Summary
Accepted: 7 June 2021Condition monitoring systems in nuclear power plants are critical for anomaly detection and management of operational transients and accidents [1,2,3]. Many fault diagnoses of machinery using high vibration analysis have been proposed [10,11,12] These systems provide data processing and visualization to a nuclear power plant control room to assist in making correct decisions and rapid responses on the detected issues. It is challenging to electrically wire and maintain hundreds of vibration sensors in the hard-to-access and dangerous locations of a plant. In this sense, self-powered and self-sustaining sensor units without needs of electrical wiring, battery changing, and additional maintenance are actively being investigated for the generation wireless sensor systems. Wireless sensor systems integrated with energy-harvesting devices such as solar cells [13,14], piezoelectric micro-generators [15,16], Published: 9 June 2021
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
