Research on the temperature influence and compensation technique in a magneto-elastic cable tension sensor

Tang, Dedong; Zhu, Hongjun; Mou, Julan; Wu, Mengxue

doi:10.1504/ijsnet.2014.067097

Cited by 6 publications

(4 citation statements)

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“…Te value of induced voltage depends on magnetic permeability of the measured object. Te abovementioned double-coil type sensor is also the most widely used one of the ME sensors [65,66,69,73,[75][76][77]80]. However, this type of sensor shows some shortcomings, such as complex design, difcult installation, low signal-to-noise ratio, and slow response [41,71].…”

Section: Me Sensor-based Methodmentioning

confidence: 99%

“…According to the resonance theory, Zhang et al [81] developed a resonance-enhanced magnetoelastic (REME) sensor with low power supply and good dynamic response, as shown in Figure 3(d). Te basic principle is to adjust the excitation frequency of the PSC tendon, stay cable Both Within 10% Tang et al [66] Steel cable Laboratory -Joh et al [67] Prestressed tendon Laboratory -Zhang et al [68] Steel cable Laboratory -Tang et al [69] Steel cable Laboratory -Cho et al [70] PSC steel strands Laboratory -Duan et al [71] Stay cable Both Within 2% Xiu et al [72] Steel cable Laboratory -Ren et al [73] Steel cable Both Zhang et al [74] Steel cable Laboratory -Chen and Zhang [75] PSC tendon Laboratory -Liu et al [76] Steel strand Laboratory 0-7.7% Feng et al [77] Stay cable Field -Guo et al [78] PSC tendon Laboratory -Zhang et al [64] Steel cable Laboratory -Kim and Park [79] PSC tendon Laboratory -Liu et al [80] Steel wire rope Laboratory Within 5% Zhang et al [41] Steel strand Laboratory Within 10% Zhang et al [81] Steel strand Laboratory 12.5%, 11.9%, and 9.5%…”

Section: Me Sensor-based Methodmentioning

confidence: 99%

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Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

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Prestressed structures are widely employed in bridges and large-span spatial structures, and the accurate evaluation of prestress state is of great importance for structural maintenance. This paper reviews the nondestructive testing (NDT) and health monitoring techniques for structural effective prestress. Specifically, the fiber Bragg grating (FBG) sensor-based, magnetic-elastic (ME) sensor-based, dynamic response-based, ultrasonic guided wave (UGW)-based, electromechanical impedance (EMI)-based, and electrical resistance-based methods are reviewed in this paper. Firstly, the principle, application range, and measuring accuracy of each technique are introduced and analyzed, and the benefits and limitations of each technique are summarized: The FBG sensor and ME sensor take on high measuring accuracy and have been applied in practical engineering, but they are required to be preinstalled during structural construction; the dynamic response-based method is greatly effective in cable force assessment but not suitable for prestress evaluation of prestressed concrete (PSC) structures; the UGW-based, EMI-based, and electrical resistance-based methods have shown favorable potential for prestress assessment in laboratory experiments, but their feasibility and accuracy in practical engineering need to be verified. Secondly, the challenges and discussion of each method are discussed in the following four aspects: measuring range, reliability of measuring results, stability and durability considering long-term monitoring, and cost-efficiency. Finally, a decision tree is proposed to choose the most appropriate prestress evaluation method in a specific application scenario.

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Section: Me Sensor-based Methodmentioning

confidence: 99%

Section: Me Sensor-based Methodmentioning

confidence: 99%

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

View full text Add to dashboard Cite

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“…In the harvester proposed in this paper there is a pre-magnetic magnet near the Fe-Ga beam, therefore, it is necessary to consider the effect of a pre-magnetization field on the Villari effect. We selected the J-A magneto-mechanical coupling theory [40] to describe the variation of magnetic flux in Fe-Ga with bending stress.…”

Section: Analysis Of the Energy Harvesting And Conversion Mechanismmentioning

confidence: 99%

Comprehensive Analysis of the Energy Harvesting Performance of a Fe-Ga Based Cantilever Harvester in Free Excitation and Base Excitation Mode

Liu

Chen

Zhao

et al. 2019

Sensors

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Vibration energy harvesting attempts to generate electricity through recycling the discarded vibration energy that is usually lost or dissipated, and represents an alternative to traditional batteries and may even lead to reliable self-powered autonomous electronic devices. Energy harvesting based on magnetostrictive materials, which takes advantage of the coupling characteristics of the Villari effect and the Faraday electromagnetic induction effect, is a recent research field of great interest. Aiming to develop a new type of magnetostrictive energy harvester using Fe-Ga alloy, which is suitable for harvesting the vibration energy from base excitations and free excitations, a Fe-Ga based cantilever harvester was proposed. The energy harvesting performance of the harvester prototype, including its resonance characteristics, open-circuit output voltage-frequency response and amplitude characteristic under base excitation, influence of external resistance, energy harvesting performance under free excitation, the function of pre-magnetization and so on was studied systematically and carefully by experiments. In terms of the volume power density, the harvester prototype without pre-magnetized magnet when in series with the optimal resistor load displays a value of 2.653 mW/cm3. The average conversion efficiency without a pre-magnetic field is about 17.7% when it is in series with a 200 resistance. The energy harvesting and converting capability can therefore be improved greatly once the Fe-Ga beam is highly pre-magnetized. The prototype successfully lit up multi-LEDs and digital display tubes, which validates the sustainable power generation capacity of the fabricated prototype.

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“…The hardware compensation method uses symmetric structures, or electronic circuits and components for compensation. For example, Tang et al devised an EM effect-based sensor with a differential structure using single bypass excitation to compensate for temperature effects in the tension monitoring of steel strands [ 4 , 11 ]. But hardware compensation methods usually suffer from limited measurement accuracy, poor reliability, and poor flexibility owing to manufacturing tolerances, or electronic devices drift, which restrict their applications in engineering practice.…”

Section: Introductionmentioning

confidence: 99%

Temperature Compensation of Elasto-Magneto-Electric (EME) Sensors in Cable Force Monitoring Using BP Neural Network

Zhang

Duan

Yang

et al. 2018

Sensors

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Techniques based on the elasto-magnetic (EM) effect have been receiving increasing attention for their significant advantages in cable stress/force monitoring of in-service structures. Variations in ambient temperature affect the magnetic behaviors of steel components, causing errors in the sensor and measurement system results. Therefore, temperature compensation is essential. In this paper, the effect of temperature on the force monitoring of steel cables using smart elasto-magneto-electric (EME) sensors was investigated experimentally. A back propagation (BP) neural network method is proposed to obtain a direct readout of the applied force in the engineering environment, involving less computational complexity. On the basis of the data measured in the experiment, an improved BP neural network model was established. The test result shows that, over a temperature range of approximately −10 °C to 60 °C, the maximum relative error in the force measurement is within ±0.9%. A polynomial fitting method was also implemented for comparison. It is concluded that the method based on a BP neural network can be more reliable, effective and robust, and can be extended to temperature compensation of other similar sensors.

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Research on the temperature influence and compensation technique in a magneto-elastic cable tension sensor

Cited by 6 publications

References 0 publications

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Comprehensive Analysis of the Energy Harvesting Performance of a Fe-Ga Based Cantilever Harvester in Free Excitation and Base Excitation Mode

Temperature Compensation of Elasto-Magneto-Electric (EME) Sensors in Cable Force Monitoring Using BP Neural Network

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