Parameter design of signal processing for transmission/reflection-type hybrid extrinsic Fabry–Perot interferometric optical fiber sensors

2004 ◽  
Vol 14 (1) ◽  
pp. 183-190 ◽  
Author(s):  
Sang-Hoon Kim ◽  
Jung-Ju Lee
Keyword(s):  
Signal Processing ◽  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Parameter Design ◽  
Fiber Sensors ◽  
Fabry Perot

Optical fiber sensors based on Fabry-Perot multilayer coatings

2010 ◽  
Vol 8 (S1) ◽  
pp. 189-191 ◽  
Author(s):  
杨明红 Minghong Yang ◽  
孙艳 Yan Sun ◽  
李小兵 Xiaobin Li ◽  
姜德生 Desheng Jiang
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Multilayer Coatings ◽  
Fiber Sensors ◽  
Fabry Perot

Optical-Fiber Sensors for the Detection of Acoustic Emission

MRS Bulletin ◽  
2002 ◽  
Vol 27 (5) ◽  
pp. 396-399 ◽  
Author(s):  
William B. Spillman ◽  
Richard O. Claus
Keyword(s):  
Signal Processing ◽  
Acoustic Emission ◽  
Optical Fiber ◽  
Material Properties ◽  
High Speed ◽  
Optical Fiber Sensors ◽  
Piezoelectric Transducers ◽  
Fiber Sensors ◽  
Critical Materials ◽  
Signal Processing Methods

AbstractAcoustic emission (AE) is used as a means to anticipate the mechanical failure of critical materials and structures by detecting the release of energy caused by material rearrangement at the microlevel. Optical-fiber sensors have potential advantages over conventional tuned piezoelectric transducers and signal-processing methods for the detection of such types of ultrasonic acoustic wave events. A number of fiber Bragg grating techniques are presented, which in particular offer the potential to provide the high-speed signal processing and ability to multiplex numbers of AE sensors necessary to detect, quantify, and locate AE sources and thereby determine material properties and damage.

scholarly journals Vibration Detection Using Optical Fiber Sensors

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Yoany Rodríguez García ◽  
Jesús M. Corres ◽  
Javier Goicoechea
Keyword(s):  
Optical Fiber ◽  
Electromagnetic Interference ◽  
Optical Fiber Sensors ◽  
Negative Influence ◽  
Physical Parameters ◽  
Real Problem ◽  
Noisy Environments ◽  
Fiber Sensors ◽  
Fabry Perot ◽  
Electromechanical Equipment

Condition monitoring of heavy electromechanical equipment is commonly accomplished in the industry using vibration analysis. Several techniques, mainly based on capacitive and piezoelectric accelerometers, have been applied for predictive maintenance. However, the negative influence of the electromagnetic interference (EMI) can be a real problem when electrical signals are used to detect and transmit physical parameters in noisy environments such as electric power generator plants with high levels of EMI. Optical fiber sensors are increasingly used because of the nonelectrical nature of signals. In this paper, the most frequently used vibration optical fiber sensors will be reviewed, classifying them by the sensing techniques and measurement principles. The main techniques, intensity modulation, fiber bragg gratings and Fabry-Pérot Interferometry, will be reviewed here.

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