Modeling and Signal Processing of Bulk Acoustic Wave Passive Wireless Strain Sensors
Untethered, battery-less, and chip-less passive wireless strain sensors have been widely investigated to overcome the drawbacks of conventional sensors for structure health monitoring of large civil structures. Although the-state-of-the-art passive wireless sensors enable long-range, high-resolution...
Uložené v:
| Vydané v: | IEEE transactions on instrumentation and measurement Ročník 73; s. 1 - 9 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York
IEEE
2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Predmet: | |
| ISSN: | 0018-9456, 1557-9662 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Untethered, battery-less, and chip-less passive wireless strain sensors have been widely investigated to overcome the drawbacks of conventional sensors for structure health monitoring of large civil structures. Although the-state-of-the-art passive wireless sensors enable long-range, high-resolution measurements, the signal processing of these sensors is still a challenging task. Passive wireless sensors require an algorithm to capture their resonant frequencies from noisy signals. In this article, we propose an algorithm based on rational polynomial functions to fit the full waveform of bulk acoustic wave (BAW)-based passive wireless strain sensors. We establish an analytical expression for the signal and simplify it based on multiple constrains. Numerical simulations show that the simplified fitting functions can accurately extract the peak frequency of the resonant signal when these constraints are satisfied. The experimental demonstrations confirm that passive wireless sensors utilizing this algorithm achieve a resolution of <inline-formula> <tex-math notation="LaTeX">4 \mu \varepsilon </tex-math></inline-formula> and a refresh rate of 7.5 Hz. In addition, we used the proposed algorithm to realize the vibration frequency measurement of a cantilever beam with a first mode around 4 Hz. The proposed method has high accuracy and moderate speed in extracting the resonance frequency of passive wireless sensors, thus making it possible to realize noncontact measurements of strain changes or vibrations in large civil structures. |
|---|---|
| AbstractList | Untethered, battery-less, and chip-less passive wireless strain sensors have been widely investigated to overcome the drawbacks of conventional sensors for structure health monitoring of large civil structures. Although the-state-of-the-art passive wireless sensors enable long-range, high-resolution measurements, the signal processing of these sensors is still a challenging task. Passive wireless sensors require an algorithm to capture their resonant frequencies from noisy signals. In this article, we propose an algorithm based on rational polynomial functions to fit the full waveform of bulk acoustic wave (BAW)-based passive wireless strain sensors. We establish an analytical expression for the signal and simplify it based on multiple constrains. Numerical simulations show that the simplified fitting functions can accurately extract the peak frequency of the resonant signal when these constraints are satisfied. The experimental demonstrations confirm that passive wireless sensors utilizing this algorithm achieve a resolution of [Formula Omitted] and a refresh rate of 7.5 Hz. In addition, we used the proposed algorithm to realize the vibration frequency measurement of a cantilever beam with a first mode around 4 Hz. The proposed method has high accuracy and moderate speed in extracting the resonance frequency of passive wireless sensors, thus making it possible to realize noncontact measurements of strain changes or vibrations in large civil structures. Untethered, battery-less, and chip-less passive wireless strain sensors have been widely investigated to overcome the drawbacks of conventional sensors for structure health monitoring of large civil structures. Although the-state-of-the-art passive wireless sensors enable long-range, high-resolution measurements, the signal processing of these sensors is still a challenging task. Passive wireless sensors require an algorithm to capture their resonant frequencies from noisy signals. In this article, we propose an algorithm based on rational polynomial functions to fit the full waveform of bulk acoustic wave (BAW)-based passive wireless strain sensors. We establish an analytical expression for the signal and simplify it based on multiple constrains. Numerical simulations show that the simplified fitting functions can accurately extract the peak frequency of the resonant signal when these constraints are satisfied. The experimental demonstrations confirm that passive wireless sensors utilizing this algorithm achieve a resolution of <inline-formula> <tex-math notation="LaTeX">4 \mu \varepsilon </tex-math></inline-formula> and a refresh rate of 7.5 Hz. In addition, we used the proposed algorithm to realize the vibration frequency measurement of a cantilever beam with a first mode around 4 Hz. The proposed method has high accuracy and moderate speed in extracting the resonance frequency of passive wireless sensors, thus making it possible to realize noncontact measurements of strain changes or vibrations in large civil structures. |
| Author | Zou, Xiyue Zhang, Yan Hu, Bin Li, Wen |
| Author_xml | – sequence: 1 givenname: Xiyue orcidid: 0000-0002-4624-3433 surname: Zou fullname: Zou, Xiyue email: zouxiyuecyril@163.com organization: Key Laboratory of Nondestructive Testing and Evaluation for State Market Regulation, China Special Equipment Inspection and Research Institute, Beijing, China – sequence: 2 givenname: Wen orcidid: 0000-0002-1498-3103 surname: Li fullname: Li, Wen email: liwen@buaa.edu.cn organization: Department of Mechanical Engineering and Automation, Beihang University, Beijing, China – sequence: 3 givenname: Yan orcidid: 0000-0003-2332-0958 surname: Zhang fullname: Zhang, Yan email: yanzhang@csei.org.cn organization: China Special Equipment Inspection and Research Institute, Beijing, China – sequence: 4 givenname: Bin orcidid: 0000-0003-1741-3138 surname: Hu fullname: Hu, Bin email: hubin@csei.org.cn organization: China Special Equipment Inspection and Research Institute, Beijing, China |
| BookMark | eNpNkE1LAzEQhoNUsK3ePXgIeN6a722OtfhRaLHQSo9hNpstW9dNTXYF_70p9eBpmJnnHZhnhAatbx1Ct5RMKCX6YbtYTRhhYsK5UmyqLtCQSplnOnUDNCSETjMtpLpCoxgPhJBciXyItitfuqZu9xjaEm_qfQsNXgdvXYynqa_wY9984Jn1fexqi3fw7fAa0jbVXR1ck0i86QLULd64NvoQr9FlBU10N391jN6fn7bz12z59rKYz5aZZUJ2mS0ASFEUTuelc1bKkpZcCFcxqzUQkNIWVFegpAZKGIBiNM8JtwnRAiwfo_vz3WPwX72LnTn4PqQPomGaEy01VyJR5EzZ4GMMrjLHUH9C-DGUmJM7k9yZkzvz5y5F7s6R2jn3DxeCUKX4L8MQbTI |
| CODEN | IEIMAO |
| Cites_doi | 10.1109/jsen.2021.3138786 10.1109/jmems.2014.2313809 10.1016/j.ultras.2023.107014 10.1002/advs.202301807 10.1016/j.chemolab.2014.09.014 10.1109/fcs.2012.6243604 10.3390/mi12010034 10.1080/19475411.2010.545450 10.1016/j.yofte.2020.102145 10.1109/tim.2022.3224531 10.1016/j.isatra.2020.11.013 10.1177/14759217211014430 10.5539/mas.v7n2p57 10.1177/1475921710379518 10.1177/14759217231152413 10.1177/1475921720944933 10.1109/mwsym.2011.5972653 10.3390/en16052451 10.1088/0957-0233/14/1/201 10.1117/12.715826 10.1007/s10915-021-01440-z 10.1088/0957-0233/17/11/002 10.1115/1.4062092 10.1002/9780470612071 10.1109/freq.2008.4623003 10.1109/jsen.2009.2027407 10.1109/tmtt.2022.3213655 10.3390/s16040496 10.1016/j.rser.2020.110447 10.1109/nems.2017.8017030 10.3390/jmse9060606 10.1109/jsen.2023.3242705 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| DBID | 97E RIA RIE AAYXX CITATION 7SP 7U5 8FD L7M |
| DOI | 10.1109/TIM.2024.3366286 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Electronics & Communications Abstracts Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts |
| DatabaseTitleList | Solid State and Superconductivity Abstracts |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Physics |
| EISSN | 1557-9662 |
| EndPage | 9 |
| ExternalDocumentID | 10_1109_TIM_2024_3366286 10440166 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: Ministry of Science and Technology, National Key Research and Development of China grantid: 2022YFC3005102; 2022YFC3005100 funderid: 10.13039/501100012166 – fundername: State Administration for Market Regulation of China grantid: 2022MK211 |
| GroupedDBID | -~X 0R~ 29I 4.4 5GY 5VS 6IK 85S 8WZ 97E A6W AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACIWK ACNCT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD F5P HZ~ H~9 IAAWW IBMZZ ICLAB IDIHD IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS TN5 TWZ VH1 VJK AAYXX CITATION 7SP 7U5 8FD L7M |
| ID | FETCH-LOGICAL-c245t-cbaa0bbbe97deec55d1d344ef2c99a0a55cb19fa659a102aa6217703c4ef94ac3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001175139800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0018-9456 |
| IngestDate | Mon Jun 30 08:26:50 EDT 2025 Sat Nov 29 04:38:45 EST 2025 Wed Aug 27 02:11:30 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c245t-cbaa0bbbe97deec55d1d344ef2c99a0a55cb19fa659a102aa6217703c4ef94ac3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-1741-3138 0000-0002-4624-3433 0000-0002-1498-3103 0000-0003-2332-0958 |
| PQID | 2930959364 |
| PQPubID | 85462 |
| PageCount | 9 |
| ParticipantIDs | ieee_primary_10440166 crossref_primary_10_1109_TIM_2024_3366286 proquest_journals_2930959364 |
| PublicationCentury | 2000 |
| PublicationDate | 20240000 2024-00-00 20240101 |
| PublicationDateYYYYMMDD | 2024-01-01 |
| PublicationDate_xml | – year: 2024 text: 20240000 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on instrumentation and measurement |
| PublicationTitleAbbrev | TIM |
| PublicationYear | 2024 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref12 ref15 ref14 ref31 ref30 ref11 ref10 ref32 ref2 ref1 ref17 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 ref8 ref7 ref9 ref4 ref3 ref6 ref5 |
| References_xml | – ident: ref20 doi: 10.1109/jsen.2021.3138786 – ident: ref17 doi: 10.1109/jmems.2014.2313809 – ident: ref4 doi: 10.1016/j.ultras.2023.107014 – ident: ref11 doi: 10.1002/advs.202301807 – ident: ref32 doi: 10.1016/j.chemolab.2014.09.014 – ident: ref14 doi: 10.1109/fcs.2012.6243604 – ident: ref19 doi: 10.3390/mi12010034 – ident: ref28 doi: 10.1080/19475411.2010.545450 – ident: ref27 doi: 10.1016/j.yofte.2020.102145 – ident: ref6 doi: 10.1109/tim.2022.3224531 – ident: ref29 doi: 10.1016/j.isatra.2020.11.013 – ident: ref3 doi: 10.1177/14759217211014430 – ident: ref12 doi: 10.5539/mas.v7n2p57 – ident: ref7 doi: 10.1177/1475921710379518 – ident: ref5 doi: 10.1177/14759217231152413 – ident: ref8 doi: 10.1177/1475921720944933 – ident: ref22 doi: 10.1109/mwsym.2011.5972653 – ident: ref30 doi: 10.3390/en16052451 – ident: ref24 doi: 10.1088/0957-0233/14/1/201 – ident: ref23 doi: 10.1117/12.715826 – ident: ref25 doi: 10.1007/s10915-021-01440-z – ident: ref16 doi: 10.1088/0957-0233/17/11/002 – ident: ref26 doi: 10.1115/1.4062092 – ident: ref1 doi: 10.1002/9780470612071 – ident: ref15 doi: 10.1109/freq.2008.4623003 – ident: ref13 doi: 10.1109/jsen.2009.2027407 – ident: ref9 doi: 10.1109/tmtt.2022.3213655 – ident: ref21 doi: 10.3390/s16040496 – ident: ref2 doi: 10.1016/j.rser.2020.110447 – ident: ref18 doi: 10.1109/nems.2017.8017030 – ident: ref31 doi: 10.3390/jmse9060606 – ident: ref10 doi: 10.1109/jsen.2023.3242705 |
| SSID | ssj0007647 |
| Score | 2.3944678 |
| Snippet | Untethered, battery-less, and chip-less passive wireless strain sensors have been widely investigated to overcome the drawbacks of conventional sensors for... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Acoustic waves Algorithms Bulk acoustic wave (BAW) device Cantilever beams Capacitive sensors Frequency measurement frequency-domain signal Functions (mathematics) Mathematical analysis Mathematical models passive wireless sensor Peak frequency Polynomials Receivers Resonant frequencies Resonant frequency Sensors Signal processing smoothing algorithms Structural health monitoring Transmitters Vibration measurement Waveforms Wireless communication Wireless sensor networks |
| Title | Modeling and Signal Processing of Bulk Acoustic Wave Passive Wireless Strain Sensors |
| URI | https://ieeexplore.ieee.org/document/10440166 https://www.proquest.com/docview/2930959364 |
| Volume | 73 |
| WOSCitedRecordID | wos001175139800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1557-9662 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007647 issn: 0018-9456 databaseCode: RIE dateStart: 19630101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8QwEB5UFPTgW1xdJQcvHqp95NEcVVz0oAi7oreSpFMRl63sw9_vJO3KgnjwVsqklJnMK5lvBuCMnLgwecojKxOMuCuTyGQqi3LhlJPouFUmDJtQj4_566t-asHqAQuDiKH4DC_8Y7jLL2s380dlpOGc0gEpl2FZKdWAtX7MrpK8aZCZkAZTWDC_k4z15eD-gTLBlF9kmZQBNr3gg8JQlV-WOLiX3tY_f2wbNts4kl01gt-BJRztwsZCd8FdWAvVnW6yBwM_8czjzpkZlaz__uaXthAB_7au2PVs-MGuXB2Ge7EX84XsieJqsoXMF8gOiZL1wzwJ1qfMtx5P9uG5dzu4uYvacQqRS7mYRs4aE1trUasS0QlRJmXGOVap09rERghnE10ZKbShsMMYSekKGQRHJJoblx3Ayqge4SGwWKDieWpFjsjjSmtX5hTpWVXFsiolduB8zuDis-maUYRsI9YFCaPwwihaYXRg3zN0ga7hZQe6c5EUrV5NCgpOQitlyY_-WHYM6_7rzSlJF1am4xmewKr7mr5Pxqdhy3wDQHW_RQ |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8QwEB58oh58i-szBy8eqn0kaXNUURR1EXZFbyVJp7IoW9mHv99J2pUF8eCtlAktM5lXMt8MwAk5caGzmAdGRhhwW0SBTtIkyIRNrUTLTar9sIm03c5eX9VTA1b3WBhE9MVneOYe_V1-UdmxOyojDeeUDkg5C_OC8ziq4Vo_hjeVvG6RGZEOU2AwuZUM1Xn37pFywZifJYmUHjg95YX8WJVfttg7mJu1f_7aOqw2kSS7qEW_ATPY34SVqf6Cm7Do6zvtcAu6buaZQ54z3S9Yp_fmljYgAfe2Ktnl-OOdXdjKj_diL_oL2RNF1mQNmSuR_SBK1vETJViHct9qMNyG55vr7tVt0AxUCGzMxSiwRuvQGIMqLRCtEEVUJJxjGVuldKiFsCZSpZZCaQo8tJaUsJBJsESiuLbJDsz1qz7uAgsFpjyLjcgQeVgqZYuMYj2TlqEsC4ktOJ0wOP-s-2bkPt8IVU7CyJ0w8kYYLdh2DJ2iq3nZgoOJSPJGs4Y5hSe-mbLke38sO4al2-7jQ_5w177fh2X3pfrM5ADmRoMxHsKC_Rr1hoMjv32-AV9-wow |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modeling+and+Signal+Processing+of+Bulk+Acoustic+Wave+Passive+Wireless+Strain+Sensors&rft.jtitle=IEEE+transactions+on+instrumentation+and+measurement&rft.au=Zou%2C+Xiyue&rft.au=Li%2C+Wen&rft.au=Zhang%2C+Yan&rft.au=Hu%2C+Bin&rft.date=2024&rft.issn=0018-9456&rft.eissn=1557-9662&rft.volume=73&rft.spage=1&rft.epage=9&rft_id=info:doi/10.1109%2FTIM.2024.3366286&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TIM_2024_3366286 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9456&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9456&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9456&client=summon |