Patch-Type Vibration Visualization (PVV) Sensor System Based on Triboelectric Effect

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.

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A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

Sensors ◽

10.3390/s140406247 ◽

2014 ◽

Vol 14 (4) ◽

pp. 6247-6278 ◽

Cited By ~ 45

Author(s):

Gabriel García ◽

Carlos Jara ◽

Jorge Pomares ◽

Aiman Alabdo ◽

Lucas Poggi ◽

...

Keyword(s):

Computer Vision ◽

Signal Processing ◽

Low Power ◽

Sensor Systems ◽

Vision Control

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Design and Implementation of Low Power Wireless Sensor System for Water Quality Monitoring

2011 5th International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2011.5780475 ◽

2011 ◽

Cited By ~ 5

Author(s):

Wen-Yaw Chung ◽

Chien-Lin Chen ◽

Jyen-bin Chen

Keyword(s):

Water Quality ◽

Low Power ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Sensor System ◽

Wireless Sensor ◽

Design And Implementation

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FIELD TEST OF WIRELESS SENSOR NETWORK IN THE NUCLEAR ENVIRONMENT

AECL Nuclear Review ◽

10.12943/anr.2014.00023 ◽

2014 ◽

Vol 3 (01) ◽

pp. 47-51 ◽

Cited By ~ 4

Author(s):

L. Li ◽

Q. Wang ◽

A. Bari ◽

C. Deng ◽

D. Chen ◽

...

Keyword(s):

Electromagnetic Interference ◽

Nuclear Power ◽

Power Plants ◽

Low Cost ◽

Signal Propagation ◽

Nuclear Radiation ◽

Wireless Sensor ◽

Wireless Signal ◽

Nuclear Environment ◽

Interference Tests

Wireless sensor networks (WSNs) are appealing options for the health monitoring of nuclear power plants due to their low cost and flexibility. Before they can be used in highly regulated nuclear environments, their reliability in the nuclear environment and compatibility with existing devices have to be assessed. In situ electromagnetic interference tests, wireless signal propagation tests, and nuclear radiation hardness tests conducted on candidate WSN systems at AECL Chalk River Labs are presented. The results are favourable to WSN in nuclear applications.

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A low-power multiplication algorithm for signal processing in wireless sensor networks

2009 52nd IEEE International Midwest Symposium on Circuits and Systems ◽

10.1109/mwscas.2009.5236001 ◽

2009 ◽

Cited By ~ 3

Author(s):

Ahmed Abdelgawad ◽

Sherine Abdelhak ◽

Soumik Ghosh ◽

Magdy Bayoumi

Keyword(s):

Wireless Sensor Networks ◽

Signal Processing ◽

Sensor Networks ◽

Low Power ◽

Wireless Sensor ◽

Multiplication Algorithm

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Low-Power Chirp Spread Spectrum Signals for Wireless Communication Within Nuclear Power Plants

Nuclear Technology ◽

10.13182/nt09-3 ◽

2009 ◽

Vol 166 (2) ◽

pp. 156-169 ◽

Cited By ~ 8

Author(s):

Abdullah Kadri ◽

Raveendra K. Rao ◽

Jin Jiang

Keyword(s):

Wireless Communication ◽

Low Power ◽

Spread Spectrum ◽

Nuclear Power ◽

Power Plants ◽

Nuclear Power Plants ◽

Chirp Spread Spectrum ◽

Spread Spectrum Signals

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Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Science and Technology of Nuclear Installations ◽

10.1155/2017/3721578 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8

Author(s):

Jianghai Li ◽

Jia Meng ◽

Xiaojing Kang ◽

Zhenhai Long ◽

Xiaojin Huang

Keyword(s):

High Temperature ◽

Nuclear Power ◽

Power Plants ◽

Heterogeneous Data ◽

Wireless Sensor ◽

Support Vector ◽

Intelligent Monitoring ◽

Novel Algorithms ◽

Non Gaussian ◽

High Temperature Gas

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plants (NPPs). This technology not only reduces the cost of regular monitoring but also enables intelligent monitoring. In intelligent monitoring, large sets of heterogeneous data collected by the WSN can be used to optimize the operation and maintenance of the HTGR. In this paper, WSN-based intelligent monitoring schemes that are specific for applications of HTGR are proposed. Three major concerns regarding wireless technology in HTGR are addressed: wireless devices interference, cybersecurity of wireless networks, and wireless standards selected for wireless platform. To process nonlinear and non-Gaussian data obtained by WSN for fault diagnosis, novel algorithms combining Kernel Entropy Component Analysis (KECA) and support vector machine (SVM) are developed.

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