Shape and vibration mode sensing using a fiber optic Bragg grating array

Davis, M. E.; Kersey, Alan D.; Sirkis, James S.; Friebele, E. J.

doi:10.1088/0964-1726/5/6/005

Cited by 121 publications

(67 citation statements)

References 10 publications

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“…[1][2][3][4] One motivation for this research and development is its application in robotics for spatial awareness and control in hazardous conditions such as subsea manipulation, industrial inspection, and assisting medical applications, such as minimally invasive surgery.…”

Section: Introductionmentioning

confidence: 99%

Respiratory function monitoring using a real-time three-dimensional fiber-optic shaping sensing scheme based upon fiber Bragg gratings

et al. 2012

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Abstract. An array of in-line curvature sensors on a garment is used to monitor the thoracic and abdominal movements of a human during respiration. The results are used to obtain volumetric changes of the human torso in agreement with a spirometer used simultaneously at the mouth. The array of 40 in-line fiber Bragg gratings is used to produce 20 curvature sensors at different locations, each sensor consisting of two fiber Bragg gratings. The 20 curvature sensors and adjoining fiber are encapsulated into a low-temperature-cured synthetic silicone. The sensors are wavelength interrogated by a commercially available system from Moog Insensys, and the wavelength changes are calibrated to recover curvature. A three-dimensional algorithm is used to generate shape changes during respiration that allow the measurement of absolute volume changes at various sections of the torso. It is shown that the sensing scheme yields a volumetric error of 6%. Comparing the volume data obtained from the spirometer with the volume estimated with the synchronous data from the shape-sensing array yielded a correlation value 0.86 with a Pearson's correlation coefficient p < 0.01.

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Section: Introductionmentioning

confidence: 99%

Respiratory function monitoring using a real-time three-dimensional fiber-optic shaping sensing scheme based upon fiber Bragg gratings

et al. 2012

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“…The fundamental principle of FBG signal processing is to detect its characteristic wavelength value or wavelength shift. This can be achieved typically by using a tunable laser 8 , a tunable optical filter 9 , an interferometer 2 and optical edge filters 10,11,12 or matched FBG filters 13 . One of the major advantages of FBG sensor systems is its capability for large scale multiplexing.…”

Section: Introductionmentioning

confidence: 99%

A low-cost multimode fiber Bragg grating sensor system

Liu¹,

Wang

Raenaei³

et al. 2005

SPIE Proceedings

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A low-cost fiber optic sensor system based on multimode fiber and an LED light source is presented. A multimode fiber Bragg grating (MMFBG) element is used as a strain sensor. In a matched grating scheme, a MMFBG similar to the sensing one was used as a reference in the receiving unit. For detection of large wavelength shift we demonstrated the feasibility of MMFBG wavelength detection using a single mode fiber fused coupler edge filter. The high cost normally associated with wavelength interrogators for single mode fiber FBG sensors was overcome by the utilization of a low cost multimode fiber pigtailed LED light source. The multimode fiber sensing system has the potential of maintaining much of the advantages of its single mode FBG sensor system counterparts. The MMFBG sensing schemes could be used for short distance, high sensitivity, high speed, strain, temperature and acoustic sensing applications.

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“…© 2012 Optical Society of America OCIS codes: 060.2370, 060.3735, 120.4820, 110.6880, 280.4788. One of the main goals driving forward the research and development of fiber-optic sensing systems is their application in the field of structural health monitoring [1,2] and shape sensing [3,4]. There are several applications for shape-sensing, such as spatial awareness and control of robots in hazardous conditions (e.g., deep-water semisubmersible drilling platform and subsea production systems) [5,6] or profiling minimally invasive (keyhole) surgery [7], to name a few.…”

mentioning

confidence: 99%

“…One of the main goals driving forward the research and development of fiber-optic sensing systems is their application in the field of structural health monitoring [1,2] and shape sensing [3,4]. There are several applications for shape-sensing, such as spatial awareness and control of robots in hazardous conditions (e.g., deep-water semisubmersible drilling platform and subsea production systems) [5,6] or profiling minimally invasive (keyhole) surgery [7], to name a few.There are a large number of shape sensing systems that have fiber Bragg gratings (FBG) as the sensing elements that monitor the strain experienced by the sensors that are adhered to the object and use a shape determination algorithm based upon a strain mapping technique [1,3]. Other sensing systems include fiber-optic loop sensors based on bend-induced loss; this technique is used in the commercially available system called ShapeTape [2] with others based upon distributed sensing, such as intrinsic Rayleigh backscattering employing optical frequency domain reflectometry [8].…”

mentioning

confidence: 99%

“…There are a large number of shape sensing systems that have fiber Bragg gratings (FBG) as the sensing elements that monitor the strain experienced by the sensors that are adhered to the object and use a shape determination algorithm based upon a strain mapping technique [1,3]. Other sensing systems include fiber-optic loop sensors based on bend-induced loss; this technique is used in the commercially available system called ShapeTape [2] with others based upon distributed sensing, such as intrinsic Rayleigh backscattering employing optical frequency domain reflectometry [8].…”

mentioning

confidence: 99%

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Arbitrary real-time three-dimensional corporal object sensing and reconstruction scheme

Bhamber

Allsop

Lloyd³

et al. 2012

Opt. Lett.

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A real-time three-dimensional (3D) object sensing and reconstruction scheme is presented that can be applied on any arbitrary corporeal shape. Operation is demonstrated on several calibrated objects. The system uses curvature sensors based upon in-line fiber Bragg gratings encapsulated in a low-temperature curing synthetic silicone. New methods to quantitatively evaluate the performance of a 3D object-sensing scheme are developed and appraised. It is shown that the sensing scheme yields a volumetric error of 1% to 9%, depending on the object. © 2012 Optical Society of America OCIS codes: 060.2370, 060.3735, 120.4820, 110.6880, 280.4788. One of the main goals driving forward the research and development of fiber-optic sensing systems is their application in the field of structural health monitoring [1,2] and shape sensing [3,4]. There are several applications for shape-sensing, such as spatial awareness and control of robots in hazardous conditions (e.g., deep-water semisubmersible drilling platform and subsea production systems) [5,6] or profiling minimally invasive (keyhole) surgery [7], to name a few.There are a large number of shape sensing systems that have fiber Bragg gratings (FBG) as the sensing elements that monitor the strain experienced by the sensors that are adhered to the object and use a shape determination algorithm based upon a strain mapping technique [1,3]. Other sensing systems include fiber-optic loop sensors based on bend-induced loss; this technique is used in the commercially available system called ShapeTape [2] with others based upon distributed sensing, such as intrinsic Rayleigh backscattering employing optical frequency domain reflectometry [8]. Alternative approaches to shape sensing include employing camera systems using complex, shape-sensing recognition algorithms [9].The three-dimensional (3D) shape-sensing system demonstrated in this Letter is based upon fiber bidirectional sensing elements that have the ability to distinguish both positive and negative curvature variation upon a twodimensional (2D) plane. The element consists of two FBGs that are temperature self-compensating due to the fact that the difference in wavelength is measured and calibrated to curvature (concave and convex) (see Fig. 1). The curvature information deduced from all sensing nodes within the scheme is processed by bespoke algorithms to construct a 3D representation of the object in question. As we will show, our method offers advantages in comparison to previously existing approaches, the most important of which is the real-time 3D shape reconstruction through tailor-made algorithms. The volumetric error of the sensing system was found for shapes with known volumes (i.e., arcs, ellipsoidal cylinders, and spheres) and ranged from 1% to 9% depending upon the shape being used. In addition, we present an efficient and, to the extend of our knowledge, entirely new approach to the evaluation of the performance of a 3D object shape sensing system, obtaining a figure-of-merit that should be a useful tool for...

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Shape and vibration mode sensing using a fiber optic Bragg grating array

Cited by 121 publications

References 10 publications

Respiratory function monitoring using a real-time three-dimensional fiber-optic shaping sensing scheme based upon fiber Bragg gratings

Respiratory function monitoring using a real-time three-dimensional fiber-optic shaping sensing scheme based upon fiber Bragg gratings

A low-cost multimode fiber Bragg grating sensor system

Arbitrary real-time three-dimensional corporal object sensing and reconstruction scheme

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