Acoustic Wave-Based Data Transmission for Multivariate Sensing

Fan, Zhaoyan; Gao, Robert X.; Asadizanjani, Navid; Kazmer, David O.

doi:10.1109/tim.2013.2270038

Cited by 5 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More peculiarly, in a measurement and instrumentation strategy, wireless technology can be used as a DAS, mainly regarding the gain and loss in terms of flexibility, cost, and transfer rate in wireless architecture [19], [20], [21]. Other evaluations of wireless technology for a remote DAS focus on the maximum achievable data acquisition [22].…”

Section: Overview Of Wireless Technologiesmentioning

confidence: 99%

Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

et al. 2014

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) may offer the opportunity to eliminate most of the extension cables and wires in digital systems, allowing operation far from any infrastructure. This opportunity coincides with a great increase in cost-effectiveness in an overall fire detection and monitoring system for forests, buildings or industrial sites. Our purpose is to evaluate this opportunity. After presenting the three main technologies for wireless communications to non experts, we retained the Zigbee protocol for this study. We then investigated whether the use of a WSN with this protocol is valuable for measuring heat quantities during a fire spreading over a vegetation fuel bed. Experiments are performed under both lab scale indoor and real outdoor conditions. The method consists of comparing temperatures and radiant heat fluxes gained with the wireless technology with those recorded at the same location through a wired data acquisition system. Delays due to the wireless radio communications are identified and explained. We also observe information loss for measurements performed in the fire front. Finally, we highlight that fires can be detected satisfactorily by WSN equipment in indoor and outdoor conditions. However, we also show that measurement accuracy obtained from wired systems cannot be obtained with the present wireless technology, and we do not recommend their use at the present time for fire monitoring and mitigation.

show abstract

Section: Overview Of Wireless Technologiesmentioning

confidence: 99%

Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

et al. 2014

View full text Add to dashboard Cite

show abstract

“…It is also known that the conventional wavelet transform has a shift varying issue, which may cause errors in retrieving the digital symbols in ultrasonic communication. To address these issues and denoise the signal, this paper firstly investigates a multi-carrier coded-ultrasonic wave modulation [15] scheme to improve high-bit data rate in ultrasonic communication. A dual-tree complex wavelet packet transform [16] based approach is then presented to denoise the signal by decomposing the signal Next the effectiveness of the developed method is demonstrated in the experimental studies on a typical injection molding machine in Section 4.…”

Section: Submitted To Measurementmentioning

confidence: 99%

“…Thus wireless communication is preferred for machinery embedded sensors. A custom-designed wireless multivariate sensor (MVS) was structurally embedded within the mold cavity[15], as shown inFig. 11.…”

mentioning

confidence: 99%

See 1 more Smart Citation

On ultrasonic communication through metal structure for machine embedded sensing

et al. 2016

Self Cite

View full text Add to dashboard Cite

With the development of machine embedded sensing, wireless communication through metal structures is becoming a critical issue in manufacturing equipment, process monitoring and control. To address it, this paper presents a multi-carrier ultrasonic communication scheme to achieve high-bit data rate for machine embedded sensing through metal structures. To extract the coded information from ultrasonic signal and denoise the signal, a new signal processing method, named multi-scale enveloping symbolic analysis (MuSEnSA), is also formulated by integrating dual-tree complex wavelet packet transform and symbolic analysis. Dual-tree complex wavelet packet transform (DT-CWPT) is firstly investigated by separating multi-carrier signals under noise contamination, given its properties of shift-invariance and flexible time frequency partitioning. A new envelope extraction and threshold setting strategy for selected wavelet coefficients is then introduced to retrieve the coded digital information by taking advantage of symbolic analysis. Numerical and experimental studies are performed to evaluate the effectiveness of the developed signal processing method for injection molding monitoring.

show abstract

“…Optimal conbinatiom of capacitor and inductor A previous study [11] has investigated the effect of different thicknesses for the front layer on the output gain during the acoustic data transmission. The optimal thickness for the front layer of the transmitter is determined for the multiple parameters transmission, where each parameter is successfully extracted under respective carrier frequencies In the present study, the carrier frequencies (0.52 MHz, 1.11 MHz, and 1.90 MHz) are determined for each parameter in the acoustic data transmission when the thicknesses of the piezoelectric layer, bonding layer, front layer and coupling layer are assumed to be 0.1 mm, 1.5 mm, 2.0 mm, and 5 µm respectively.…”

Section: Input Electrical Impedance Matchingmentioning

confidence: 99%

Bond graph for design improvement of a multivariate sensor

Tang

Gao

Fan

et al. 2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

Self Cite

View full text Add to dashboard Cite

This paper describes a wireless data transmission technique using acoustic waves as the information carrier for online injection molding process measurements, including melt temperature, pressure, velocity and viscosity. A design scheme of the optimization of the input electrical impedance matching with the transmission system of the multivariate sensor based on the bond graph modeling approach is proposed. Bond graph models of each constituent component within the transmission system are established, where parameters regarding the properties of the piezo-material, layer thickness, and input electrical impedance could be manipulated easily. The effects of different combinations of capacitor and inductor that constitute the input electrical circuit are investigated. An optimal combination for electrical impedance matching is determined through bond graph simulation. This optimal solution improves the design of sensor circuits with the capability of generating the highest output gain or increasing the transmission distance under the same electrical excitation, meanwhile ensuring that the received signal has high signal-tonoise-ratio (SNR) for further parameter retraction. Bond graphing has been shown as an effective approach for guiding the design of complex, cross-domain, and embedded sensing systems.

show abstract

Acoustic Wave-Based Data Transmission for Multivariate Sensing

Cited by 5 publications

References 22 publications

Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

On ultrasonic communication through metal structure for machine embedded sensing

Bond graph for design improvement of a multivariate sensor

Contact Info

Product

Resources

About