New implementation of high-precision and instant-response air thermometer by ultrasonic sensors

Tsai, Wen-Yuan; Huang, Chih-Hsien; Liao, Teh‐Lu

doi:10.1016/j.sna.2004.06.001

Cited by 20 publications

(10 citation statements)

References 13 publications

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“…Reference signals were artificially shifted as per equation (1). ToF values obtained using (4), (5), (6) and (7). Bias error due to neighbor reflection was obtained using (8).…”

Section: Resultsmentioning

confidence: 99%

“…Peaks were located by gating the area of first and second reflection. Estimates were obtained using (4), (5), (6) and (7). Since there was N values for spacing ∆t n between the signal, every delay value was used to obtain the bias error ε(ToF e ), by subtracting the introduced delay ∆t n (0 ns to 4000 ns for second reflection and 0 ns for first reflection):…”

Section: Multiple Reflections Problemmentioning

confidence: 99%

“…Ultrasonic imaging and measurement offers direct interaction of the probing signal with the mechanical properties of the test object. Many measurement systems explore the ultrasound delay time: temperature [7], load measurement [9], food product quality monitoring [3]; thickness [4], nondestructive imaging [6] or biomedical applications [8]; flow rate measurement [5]. Essential procedure carried out in such measurements is the estimation of signal delay or time-of-flight (ToF) [1,2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Conventional and Spread Spectrum Signals Time of Flight Error Caused by Neighboring Reflections

Knockaert¹,

Geerardyn²,

Vijver³

et al. 2014

IJC

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Performance comparison of conventional and spread spectrum signals in Time of Flight estimation is given. Ultrasonic measurement under multiple reflections condition is analyzed. It was indicated that if two reflections are in close proximity the neighboring signal induces energy leak into its opponent signal. Due to such situation ToF estimate is obtained with bias error. Narrow signals like single rectangular pulse, should suffer less from the aforementioned phenomena. But use of spread spectrum signals is preferred thanks to their compressibility. It was hypothesized that such long signals will have worse bias error due to neighbor reflection. Goal of the investigation was to compare the performance in multiple reflections environment in Time of Flight estimation for classical signals and spread spectrum signals. Investigation revealed that spread spectrum signals have better performance in a sense of bias error caused by neighboring reflection.

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“…Reference signals were artificially shifted as per equation (1). ToF values obtained using (4), (5), (6) and (7). Bias error due to neighbor reflection was obtained using (8).…”

Section: Resultsmentioning

confidence: 99%

Section: Multiple Reflections Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Conventional and Spread Spectrum Signals Time of Flight Error Caused by Neighboring Reflections

Knockaert¹,

Geerardyn²,

Vijver³

et al. 2014

IJC

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show abstract

“…Acoustic tomography (AT) has been widely used and provided an effective means for temperature distribution visualization owing to the advantages of wide measuring range, noncontacting measurement, and large measurement space. In recent years, the AT method has been widely used in various applications, such as boiler furnaces [1,2], deepsea hydrothermal vents [3,4], stored grain [5,6], and atmospheric surface layer [7,8]. In this paper, we applied the AT method to reconstruct the temperature distribution in a boiler furnace.…”

Section: Introductionmentioning

confidence: 99%

3D Temperature Distribution Reconstruction in Furnace Based on Acoustic Tomography

Kong

Jiang

Liu

et al. 2019

Mathematical Problems in Engineering

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3D temperature distribution measurement in a furnace based on acoustic tomography (AT) calculates temperature field through multipath acoustic time-of-flight (TOF) data. In this paper, a new 3D temperature field reconstruction model based on radial basis function approximation with polynomial reproduction (RBF-PR) is proposed for solving the AT inverse problem. In addition, the modified reconstruction method that integrates the advantages of the TSVD and Tikhonov regularization methods is presented to reduce the sensitivity of noise on perturbations with the ill-posed problems and improve the reconstruction quality (RQ). Numerical simulations are implemented to evaluate the effectiveness of the proposed reconstruction method using different 3D temperature distribution models, which include the one-peak symmetry distribution, one-peak asymmetry distribution, and twopeak symmetry distribution. To study the antinoise ability of our method, noises are added to the value of TOF. 3D display of reconstructed temperature fields and reconstruction errors is given. e results indicate that our model can reconstruct the temperature distribution with higher accuracy and better antinoise ability compared with the truncated generalized singular value decomposition (TGSVD). Besides that, the proposed method can determine the hot spot position with higher precision, and the temperature error of the hot spot is lower than the other compared methods.

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“…The measurement of the speed of sound to determine certain thermodynamic properties of a gaseous medium was first proposed in 1873. Constructing temperature maps by measuring the times of flight (TOFs) of ultrasonic waves has been widely applied in the industrial and medical fields [12–15]. For an OFT transformer, it is possible to transmit the ultrasonic energy through the wall of transformer enclosure and to get the thermodynamic information inside the transformer without any other requirements, for example, transformer shut down, thermal assumptions, etc.…”

Section: Introductionmentioning

confidence: 99%

A study on hot spot detection possibility in simulated oil‐filled‐type transformer tank by using ultrasonic methods

Chen¹,

Zhi-cheng²

2011

IEEJ Transactions Elec Engng

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Failure of oil-filled-type (OFT) power transformers usually results in very big losses comprising the loss of the transformer itself as well as production loss in industry. Most of the energy lost in OFT transformers, induced by faults, will become heat at a location close to the fault, which then becomes a hot spot. The detection of hot spots in OFT transformers can be an effective way for transformer fault location and diagnosis. As the OFT transformer enclosure is completely sealed and is opaque, to date there is no effective way to find out hot spots in them. It is known that ultrasonic energy can be transmitted into the sealed transformer enclosure which is filled with the fluid, and ultrasonic waves can be affected by the temperature of the materials they propagate through; so the ultrasonic method can be a possible method for hot spot detection. In this paper, we describe a study on the possibility of developing a method to detect hot spots in an environment filled with a fluid, simulating a transformer. Trails using a different times-of-flight (TOFs) evaluation techniques and attenuation measurement of the ultrasonic energy propagated were carried out, which showed encouraging results for locating the hot spot as well as measuring the hot spot temperature in fluids; we also discuss the possibility of applying these results to the diagnosis of OFT transformers eventually. 

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New implementation of high-precision and instant-response air thermometer by ultrasonic sensors

Cited by 20 publications

References 13 publications

Comparison of Conventional and Spread Spectrum Signals Time of Flight Error Caused by Neighboring Reflections

Comparison of Conventional and Spread Spectrum Signals Time of Flight Error Caused by Neighboring Reflections

3D Temperature Distribution Reconstruction in Furnace Based on Acoustic Tomography

A study on hot spot detection possibility in simulated oil‐filled‐type transformer tank by using ultrasonic methods

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