Real-time deformation monitoring by a wireless network of low-cost GPS

AbstractMonitoring small size area deformations calls forincreasingly precise data with greater space and time resolution.To this aim, a GPS data processing method designedfor wireless networks of mono-frequency GPS receiversis proposed. The different steps of the method areexplained: the GPS processing is first detailed with the designof parametric and stochastic models, their inversionby an extended Kalman filter and the mitigation of themain errors: multipath. A parsimonious radio data transferprotocol is then proposed. It allows a real-time positioningthanks to a wireless transfer of GPS carrier phasesdata from receivers to a processing computer. Finally themethod is tested on a network of mono-frequency receiversdeveloped by the French National Mapping Agency (IGN).Tests prove its ability for real-time positioning with a fifteenreceivers network, and a precision under the centimeterlevel is reached.

Download Full-text

Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring

Geophysical Journal International ◽

10.1093/gji/ggx099 ◽

2017 ◽

Vol 209 (3) ◽

pp. 1408-1417 ◽

Cited By ~ 12

Author(s):

Rui Tu ◽

Jinhai Liu ◽

Cuixian Lu ◽

Rui Zhang ◽

Pengfei Zhang ◽

...

Keyword(s):

Real Time ◽

Strong Motion ◽

Deformation Monitoring ◽

Time Deformation

Download Full-text

Real Time Conditioning Monitoring for Failure Prediction

Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy ◽

10.1115/gt2017-65145 ◽

2017 ◽

Author(s):

J. Alejandro Franco-Piña ◽

Luis Contreras ◽

Juan C. Jauregui

Keyword(s):

Real Time ◽

Frequency Spectrum ◽

Oil Quality ◽

Electrical Current ◽

Processing Method ◽

Power Capacity ◽

Data Processing Method ◽

Field Programmable ◽

Maintenance Activities ◽

Dominant Frequencies

Nowadays, the growth in the diameter of the rotors and the power capacity of the machinery require the application of constant monitoring to predict failures and reduce maintenance activities. These activities prevent emergency stops and failures that require the replacement of components; however, these operations involve a high cost. The system presented in this paper integrates a fast data processing method that can analyze monitoring signals in real-time. The overall system includes a set of sensors for the measurement of acceleration, angular velocity, temperature, voltage, electrical current, and oil quality. The system presented is able to produce a frequency spectrum with a length of 8192 points. The FFT module was implemented in a FPGA (Field Programmable Gate Array) and it generates in real time, the frequency spectrum. This system adjusts the dominant frequencies to the wind turbine velocity.

Download Full-text

An Improved Wavelet Threshold De-Noising Data Processing Method Research in Deformation Monitoring

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.90-93.2858 ◽

2011 ◽

Vol 90-93 ◽

pp. 2858-2863

Author(s):

Wei Li ◽

Xu Wang

Keyword(s):

Data Processing ◽

Deformation Monitoring ◽

Processing Method ◽

Threshold Function ◽

Wavelet Coefficients ◽

New Approach ◽

Data Processing Method ◽

Soft Threshold ◽

Fixed Bias ◽

Better Than

Due to the soft and hard threshold function exist shortcomings. This will reduce the performance in wavelet de-noising. in order to solve this problem，This article proposes Modulus square approach. the new approach avoids the discontinuity of the hard threshold function and also decreases the fixed bias between the estimated wavelet coefficients and the wavelet coefficients of the soft-threshold method．Simulation results show that SNR and MSE are better than simply using soft and hard threshold，having good de-noising effect in Deformation Monitoring.

Download Full-text

Measurement of the Thermal Expansion for Space Structures Using Fiber Bragg Grating Sensors and Displacement Measuring Interferometers

Smart Materials, Adaptive Structures and Intelligent Systems, Volume 1 ◽

10.1115/smasis2008-479 ◽

2008 ◽

Author(s):

Hong-Il Kim ◽

Lae-Hyong Kang ◽

Jae-Hung Han

Keyword(s):

Fiber Bragg Grating ◽

Real Time ◽

Deformation Monitoring ◽

Space Environment ◽

Space Structures ◽

Bragg Grating ◽

Environment Change ◽

Time Deformation ◽

Fiber Bragg Grating Sensors ◽

Fbg Sensors

Dimensional stability of the space structures, such as large telescope mirrors or metering substructures, is very important because even extremely small deformations of these structures might degrade the optical performances. Therefore, precise deformation data of the space structures according to environment change are required to design these structures correctly. Also, real-time deformation monitoring of these structures in space environment is demanded to verify whether these structures are properly designed or manufactured. FBG (fiber Bragg grating) sensors are applicable to real time monitoring of the space structure because they can be embedded onto the structures with minimal weight penalty. In this research, therefore, thermal deformation measurement system for the space structures, composed of FBG sensors for real time strain measurement and DMI (displacement measuring interferometers) for accurate specimen expansion data acquisition, is developed. Thermal strains measured by distributed FBG sensors are evaluated by the comparison with the strains obtained by highly accurate DMI.

Download Full-text