{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:51:48Z","timestamp":1784202708047,"version":"3.55.0"},"reference-count":35,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T00:00:00Z","timestamp":1577923200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61201131"],"award-info":[{"award-number":["61201131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["ZYGX2016J104"],"award-info":[{"award-number":["ZYGX2016J104"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The time-difference method is a common one for measuring wind speed ultrasonically, and its core is the precise arrival-time determination of the ultrasonic echo signal. However, because of background noise and different types of ultrasonic sensors, it is difficult to measure the arrival time of the echo signal accurately in practice. In this paper, a method based on the wavelet transform (WT) and Bayesian information criteria (BIC) is proposed for determining the arrival time of the echo signal. First, the time-frequency distribution of the echo signal is obtained by using the determined WT and rough arrival time. After setting up a time window around the rough arrival time point, the BIC function is calculated in the time window, and the arrival time is determined by using the BIC function. The proposed method is tested in a wind tunnel with an ultrasonic anemometer. The experimental results show that, even in the low-signal-to-noise-ratio area, the deviation between mostly measured values and preset standard values is mostly within 5 \u03bcs, and the standard deviation of measured wind speed is within 0.2 m\/s.<\/jats:p>","DOI":"10.3390\/s20010269","type":"journal-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T04:43:03Z","timestamp":1578026583000},"page":"269","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1218-9475","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-087X","authenticated-orcid":false,"given":"Zhipeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5171-7149","authenticated-orcid":false,"given":"Xuyang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibing","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0167-6105(97)00013-5","article-title":"On the fitting of low mean windspeed data to the Weibull distribution","volume":"66","author":"Deaves","year":"1997","journal-title":"J. Wind Eng. Ind. Aerodyn."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1071\/AN12066","article-title":"Evaluating seasonal risk and the potential for windspeed reductions to reduce chill index at six locations using GrassGro","volume":"52","author":"Broster","year":"2012","journal-title":"Anim. Prod. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/0378-3774(95)01172-F","article-title":"Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia","volume":"28","author":"Chiew","year":"1995","journal-title":"Agric. Water Manag."},{"key":"ref_4","first-page":"208","article-title":"Visibility in Blowing Snow and Applications in Traffic Operations","volume":"185","author":"Tabler","year":"1979","journal-title":"Transp. Res. Board Spec. Rep."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Tarade, R.S., and Katti, P.K. (2011, January 28\u201330). A comparative analysis for wind speed prediction. Proceedings of the 2011 International Conference on Energy, Automation and Signal, Bhubaneswar, Odisha, India.","DOI":"10.1109\/ICEAS.2011.6147167"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1115\/1.3447255","article-title":"Comprehensive Design of Axisymmetric Wind Tunnel Contractions","volume":"97","author":"Morel","year":"1975","journal-title":"J. Fluids Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1175\/1520-0450(1972)011<0843:CARTFW>2.0.CO;2","article-title":"Cup Anemometer Response to Fluctuating Wind Speeds","volume":"11","author":"Hyson","year":"1972","journal-title":"J. Appl. Meteorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1109\/JIOT.2014.2319296","article-title":"2-D Micromachined Thermal Wind Sensors\u2014A Review","volume":"1","author":"Zhu","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_9","first-page":"377","article-title":"Comparison between Pitot Tube and Hot-wire Anemometer in Slow Periodic Flows","volume":"7","author":"Shi","year":"1992","journal-title":"J. Exp. Mech."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Bucci, G., Ciancetta, F., Fiorucci, E., Gallo, D., and Luiso, M. (2013, January 6\u20139). A low-cost ultrasonic wind speed and direction measurement system. Proceedings of the Instrumentation & Measurement Technology Conference, Minneapolis, MN, USA.","DOI":"10.1109\/I2MTC.2013.6555469"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2836","DOI":"10.1109\/TIM.2017.2714438","article-title":"Development of 3-D Ultrasonic Anemometer with Nonorthogonal Geometry for the Determination of High-Intensity Winds","volume":"66","author":"Lopes","year":"2017","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2407","DOI":"10.1121\/1.4947511","article-title":"Understanding acoustic methods for cement bond logging","volume":"139","author":"Wang","year":"2016","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.1109\/TIM.2009.2013666","article-title":"Maximum-Likelihood Data Fusion of Phase-Difference and Threshold-Detection Techniques for Wind-Speed Measurement","volume":"58","author":"Villanueva","year":"2009","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/S0167-6105(00)00085-4","article-title":"Simultaneous measurements of wind speed profiles at two sites using Doppler sodars","volume":"89","author":"Tamura","year":"2001","journal-title":"J. Wind Eng. Ind. Aerodyn."},{"key":"ref_15","first-page":"67","article-title":"Study on Ultrasonic Anemometer Measurement System Based on ARM","volume":"12","author":"Kang","year":"2012","journal-title":"Instrum. Tech. Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.isatra.2016.07.010","article-title":"Wind speed and direction measurement based on arc ultrasonic sensor array signal processing algorithm","volume":"65","author":"Li","year":"2016","journal-title":"ISA Trans."},{"key":"ref_17","unstructured":"Li, Y., Wang, B., and Wu, Y. (2007, January 16\u201318). Time-difference Ultrasonic Wind Detection Methods Based on Cross-correlation Theory. Proceedings of the International Conference on Electronic Measurement & Instruments, Xi\u2019an, China."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Konishi, S., and Kitagawa, G. (2008). Bayesian Information Criteria. Information Criteria and Statistical Modeling, Springer.","DOI":"10.1007\/978-0-387-71887-3"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1121\/1.4837835","article-title":"Speech enhancement using empirical mode decomposition and the Teager-Kaiser energy operator","volume":"135","author":"Khaldi","year":"2014","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/j.ultras.2004.12.005","article-title":"Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete","volume":"43","author":"Kurz","year":"2005","journal-title":"Ultrasonics"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ymssp.2016.10.003","article-title":"A new method for arrival time determination of impact signal based on HHT and AIC","volume":"86","author":"Liu","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3035","DOI":"10.1007\/s00521-016-2333-5","article-title":"Signal detection based on empirical mode decomposition and Teager\u2013Kaiser energy operator and its application to P and S wave arrival time detection in seismic signal analysis","volume":"28","author":"Kirbas","year":"2016","journal-title":"Neural Comput. Appl."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1006\/gmip.1995.1022","article-title":"Multisensor Image Fusion Using the Wavelet Transform","volume":"57","author":"Li","year":"1995","journal-title":"Graph. Models Image Process."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"P19","DOI":"10.1190\/1.2127113","article-title":"Spectral decomposition of seismic data with continuous-wavelet transform","volume":"70","author":"Sinha","year":"2008","journal-title":"Geophysics"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Zhang, B.L., Lv, J., and Li, J.R. (2018). A Compound Algorithm for Parameter Estimation of Frequency Hopping Signal Based on STFT and Morlet Wavelet Transform. International Conference on Intelligent Computing, Springer.","DOI":"10.1007\/978-3-319-95933-7_22"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Morlet, J. (1983). Sampling Theory and Wave Propagation. Issues in Acoustic Signal\u2014Image Processing and Recognition, Springer.","DOI":"10.1007\/978-3-642-82002-1_12"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1142\/S0218001487000205","article-title":"Analysis of sound patterns through wavelet transforms","volume":"1","author":"Kronlandmartinet","year":"1987","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1177\/0049124104268644","article-title":"Multimodel Inference Understanding AIC and BIC in Model Selection","volume":"33","author":"Burnham","year":"2004","journal-title":"Sociol. Methods Res."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Mousavi, S.R., Niknazar, M., and Vahdat, B.V. (2008, January 18\u201320). Epileptic Seizure Detection using AR Model on EEG Signals. Proceedings of the International Biomedical Engineering Conference, Cairo, Egypt.","DOI":"10.1109\/CIBEC.2008.4786067"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/S0031-9201(99)00054-0","article-title":"Multi-component autoregressive techniques for the analysis of seismograms","volume":"113","author":"Leonard","year":"1999","journal-title":"Phys. Earth Planet. Inter."},{"key":"ref_31","unstructured":"Sullivan, E.J. (2011). Statistical Signal Processing, Addison-Wesley."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.agsy.2010.01.006","article-title":"Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method","volume":"103","author":"He","year":"2010","journal-title":"Agric. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/TSA.1996.481449","article-title":"Signal bias removal by maximum likelihood estimation for robust telephone speech recognition","volume":"4","author":"Juang","year":"1996","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1080\/10635150490522304","article-title":"Model selection and model averaging in phylogenetics: Advantages of akaike information criterion and bayesian approaches over likelihood ratio tests","volume":"53","author":"Posada","year":"2004","journal-title":"Syst. Biol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1023\/A:1011605719943","article-title":"The Design and Construction of a Vertical Wind Tunnel for the Study of Untethered Firebrands in Flight","volume":"37","author":"Knight","year":"2001","journal-title":"Fire Technol."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/1\/269\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:28:38Z","timestamp":1760362118000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/1\/269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,2]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,1]]}},"alternative-id":["s20010269"],"URL":"https:\/\/doi.org\/10.3390\/s20010269","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,2]]}}}