Realization of self-diagnosis and self-calibration strategies using conventional signal processing and fuzzy approach for distributed intelligent sensor systems

1999 ◽  
Author(s):  
Salam Maria S. Rezeki ◽  
Wai Chan ◽  
Malcolm R. Haskard ◽  
Dennis E. Mulcahy ◽  
David E. Davey
Keyword(s):  
Signal Processing ◽  
Sensor Systems ◽  
Fuzzy Approach ◽  
Intelligent Sensor ◽  
Self Calibration ◽  
Conventional Signal

Self-diagnosis and self-calibration strategies for distributed intelligent sensor systems

1997 ◽  
Author(s):  
Salam Maria S. Rezeki ◽  
Yong P. Xu ◽  
Malcolm R. Haskard ◽  
David E. Davey
Keyword(s):  
Sensor Systems ◽  
Intelligent Sensor ◽  
Self Calibration

Signal Processing for Intelligent Sensor Systems

2001 ◽  
Vol 109 (5) ◽  
pp. 1764-1764
Author(s):  
David C. Swanson ◽  
David I. Havelock
Keyword(s):  
Signal Processing ◽  
Sensor Systems ◽  
Intelligent Sensor

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

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3976
Author(s):  
Sun Jin Kim ◽  
Myeong-Lok Seol ◽  
Byun-Young Chung ◽  
Dae-Sic Jang ◽  
Jonghwan Kim ◽  
...  
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Nuclear Power ◽  
Power Plants ◽  
Computing System ◽  
Sensor System ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Patch Type ◽  
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.

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

Sensors ◽  
2014 ◽  
Vol 14 (4) ◽  
pp. 6247-6278 ◽  
Author(s):  
Gabriel García ◽  
Carlos Jara ◽  
Jorge Pomares ◽  
Aiman Alabdo ◽  
Lucas Poggi ◽  
...  
Keyword(s):  
Computer Vision ◽  
Signal Processing ◽  
Low Power ◽  
Sensor Systems ◽  
Vision Control

Intelligent sensor systems and smart sensors: concepts, focus points and technology

2011 ◽  
pp. 959-976 ◽  
Author(s):  
Gerard Meijer ◽  
Frank van der Goes ◽  
Ferry Toth ◽  
Sander van Herwaarden ◽  
Edval Santos
Keyword(s):  
Smart Sensors ◽  
Sensor Systems ◽  
Intelligent Sensor

scholarly journals An electromagnetic, vibration-powered generator for intelligent sensor systems

2004 ◽  
Vol 110 (1-3) ◽  
pp. 344-349 ◽  
Author(s):  
P. Glynne-Jones ◽  
M.J. Tudor ◽  
S.P. Beeby ◽  
N.M. White
Keyword(s):  
Sensor Systems ◽  
Intelligent Sensor ◽  
Electromagnetic Vibration
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