A study of wireless torque sensing based on SAW sensors

Lin, Chih-Jer; Hung, Chung-Chan; Lin, Hai

doi:10.1109/3ca.2010.5533574

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…The signal detection does not significantly depend on the SNR, and the hardware cost is comparatively lower than that of frequency-mixing detection; thus, the SAW sensing system based on RSSI detection is a relatively optimal scheme. Few studies of SAW sensing systems based on RSSI detection have been conducted; for example, [21,22] introduced the system composition, hardware selection, and measurement data, but were insufficient to design a complete SAW sensor demodulation system. The main contradiction of the RSSI detection method is that the sweep range and number of sweep points limit the test response speed.…”

Section: Introductionmentioning

confidence: 99%

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Han¹,

Bu²,

Xu³

et al. 2021

Meas. Sci. Technol.

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Surface acoustic wave (SAW) sensing systems based on the received signal strength indication (RSSI) detection principle have recently gained considerable research attention because of their distinct advantages and disadvantages. However, the test mode requires constant sweeping, which severely limits the system’s dynamic response; to overcome this limitation, an effective solution is to establish a suitable eigenvalue search strategy to replace naive sweeping. To this end, a basis for this process is established in this study. Furthermore, the mechanism of the SAW sensing system based on RSSI detection is analyzed, a system model is established by introducing sequence signal superposition, and the model’s validity is verified via experiments. Signal variations at each stage and model errors are analyzed, and the system’s timing parameters are optimized. Finally, using the SAW torque sensor, an optimized torque measurement prototype is designed and the system’s effectiveness is verified through static torque experiments. A complete model of the measurement system can be simulated through this model; it provides the basis for an eigenvalue search strategy and can act as a simulation model or design basis for other researchers building RSSI-detection-based SAW sensing systems.

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Section: Introductionmentioning

confidence: 99%

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Han¹,

Bu²,

Xu³

et al. 2021

Meas. Sci. Technol.

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“…SAW torque sensors can deal with today's torque measurement difficulties experienced with rotating parts, such as difficulties with sensor installation, cable management, and power supply. SAW torque sensors have been studied in the fields of wind turbines, transmission shafts, and vehicle electric power steering [4][5][6], which is a current research hotspot.…”

Section: Introductionmentioning

confidence: 99%

Research into a novel surface acoustic wave sensor signal-processing system based on compressive sensing and an observed-signal augmentation method based on secondary information prediction

Han¹,

Bu²,

Song³

et al. 2021

Meas. Sci. Technol.

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Due to their unique advantages, surface acoustic wave (SAW) sensors have attracted various disciplines to carry out thorough research. However, in their wireless applications, their high carrier frequency, low signal-to-noise ratio, and short effective signal length have led to poor signal measurement accuracy and complex detection systems. Using an SAW torque sensor as its objective, this paper describes the proposal and completion of a novel processing system based on compressive sensing (CS). The system was implemented using an analog-to-information conversion module. The module hardware’s structural parameters and signal recovery parameters were designed and optimized by simulation. Furthermore, an intervening interpolation method based on support vector machine (SVM) signal secondary information prediction was developed to achieve an effective extension of the observed signal. The method’s parameters and the SVM super parameters were optimized by a cuckoo search algorithm. The success rate of the predicted signal secondary information reached more than 94%. The compression ratio of the system reached 5.77‰ while ensuring successful signal frequency recovery. Finally, a torque static calibration experiment was carried out using the system prototype; the results show that the system sensitivity is 1.951 kHz Nm−1, which proves that the scheme and methods are effective. The SAW signal-processing system based on CS combines the advantages of traditional demodulation system solutions with low hardware costs, low data volume, and high interference immunity. This system will prompt some new thoughts about SAW sensor signal detection.

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“…Wireless passive SAW sensor has been widely used in many industrial applications. It provides the capability of sensing both physical parameters, e.g., temperature [1][2][3][4][5], pressure [4,5], torsion [6], flow rate [7] etc. and chemical quantities [8][9][10] without batteries for power supply.…”

Section: Introductionmentioning

confidence: 99%

A Wireless Passive SAW Delay Line Temperature and Pressure Sensor for Monitoring Water Distribution System

Tang

Gao

2018

2018 Ieee Sensors

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Wireless passive surface acoustic wave (SAW) sensor has been widely used in many applications. This paper presents a feasibility study on a designed wireless passive SAW delay line temperature and pressure sensor for monitoring water distribution systems. The substrate of the sensor node is a Y-Z orientation cut LiNbO3 crystalline with 0.5 mm thickness. The Interdigital transducer (IDT) was fabricated centrally on the surface of the substrate with an antenna connected. There are three reflectors fabricated on the same surface of the IDT. One reflector is on one side and the other two are on the other side of the IDT. A simulated water pipe platform with testing devices was assembled to test the feasibility of the sensor node working in water pipe environment. The experimental result showed that the designed sensor worked properly but 4/5 amplitude of signals is lost compared to the experimental results in the open-air environment.

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A study of wireless torque sensing based on SAW sensors

Cited by 10 publications

References 4 publications

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Model of a surface acoustic wave sensing system based on received signal strength indication detection

Research into a novel surface acoustic wave sensor signal-processing system based on compressive sensing and an observed-signal augmentation method based on secondary information prediction

A Wireless Passive SAW Delay Line Temperature and Pressure Sensor for Monitoring Water Distribution System

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