Interpolation method for wideband signal reconstruction based on blade tip timing measurement
•Original algorithm for accurate reconstruction of BTT signals.•The maximum allowable signal bandwidth can be extended.•No strict sensor layout is required.•Blade vibration frequency is identified under strong noise. Blade tip timing (BTT) technique has become a promising way of online damage diagno...
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Veröffentlicht in: | Measurement : journal of the International Measurement Confederation 2021-05, Vol.176, p.109168, Article 109168 |
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container_title | Measurement : journal of the International Measurement Confederation |
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creator | Chen, Suiyu Yang, Yongmin Hu, Haifeng Guan, Fengjiao Shen, Guoji Bian, Zifang Guo, Haonan |
description | •Original algorithm for accurate reconstruction of BTT signals.•The maximum allowable signal bandwidth can be extended.•No strict sensor layout is required.•Blade vibration frequency is identified under strong noise.
Blade tip timing (BTT) technique has become a promising way of online damage diagnosis for compressor and turbine blades by monitoring their vibrations. However, there are some disadvantages in previous algorithms for BTT signals, including not high precision, strict sensor layout, signal bandwidth limit, and weak anti-noise ability. To solve these problems, a novel interpolation method for wideband signal reconstruction (IWSR) is presented. Simulations are conducted using a lumped parameter model, which shows that IWSR reconstructs noiseless signals with overall errors mainly below 1%, and identifies the exact frequencies of 5 dB noise signals. In addition, the results validate its signal separation function and verify that its sensor layout is almost arbitrary, and its maximum allowable bandwidth is half the product of sensor number and rotational frequency. Experimental results demonstrate its effectiveness in frequency identification. In conclusion, IWSR provides precise information for real-time blade damage diagnosis, which benefits turbomachinery safety. |
doi_str_mv | 10.1016/j.measurement.2021.109168 |
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Blade tip timing (BTT) technique has become a promising way of online damage diagnosis for compressor and turbine blades by monitoring their vibrations. However, there are some disadvantages in previous algorithms for BTT signals, including not high precision, strict sensor layout, signal bandwidth limit, and weak anti-noise ability. To solve these problems, a novel interpolation method for wideband signal reconstruction (IWSR) is presented. Simulations are conducted using a lumped parameter model, which shows that IWSR reconstructs noiseless signals with overall errors mainly below 1%, and identifies the exact frequencies of 5 dB noise signals. In addition, the results validate its signal separation function and verify that its sensor layout is almost arbitrary, and its maximum allowable bandwidth is half the product of sensor number and rotational frequency. Experimental results demonstrate its effectiveness in frequency identification. In conclusion, IWSR provides precise information for real-time blade damage diagnosis, which benefits turbomachinery safety.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2021.109168</identifier><language>eng</language><publisher>OXFORD: Elsevier Ltd</publisher><subject>Algorithms ; Bandwidths ; Blade tip timing ; Blade tips ; Broadband ; Compressors ; Damage ; Diagnosis ; Engineering ; Engineering, Multidisciplinary ; Instruments & Instrumentation ; Interpolation ; Layouts ; Noise levels ; Reconstruction ; Science & Technology ; Sensors ; Signal processing ; Signal reconstruction ; Technology ; Time measurement ; Turbine blades ; Turbomachinery ; Vibration ; Vibration monitoring</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2021-05, Vol.176, p.109168, Article 109168</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. May 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>30</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000641452000003</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c349t-8fe6567eca2e2f382acae9a43f63f0969f33f5c717aadd4632aba3beaa72e6723</citedby><cites>FETCH-LOGICAL-c349t-8fe6567eca2e2f382acae9a43f63f0969f33f5c717aadd4632aba3beaa72e6723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.measurement.2021.109168$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Chen, Suiyu</creatorcontrib><creatorcontrib>Yang, Yongmin</creatorcontrib><creatorcontrib>Hu, Haifeng</creatorcontrib><creatorcontrib>Guan, Fengjiao</creatorcontrib><creatorcontrib>Shen, Guoji</creatorcontrib><creatorcontrib>Bian, Zifang</creatorcontrib><creatorcontrib>Guo, Haonan</creatorcontrib><title>Interpolation method for wideband signal reconstruction based on blade tip timing measurement</title><title>Measurement : journal of the International Measurement Confederation</title><addtitle>MEASUREMENT</addtitle><description>•Original algorithm for accurate reconstruction of BTT signals.•The maximum allowable signal bandwidth can be extended.•No strict sensor layout is required.•Blade vibration frequency is identified under strong noise.
Blade tip timing (BTT) technique has become a promising way of online damage diagnosis for compressor and turbine blades by monitoring their vibrations. However, there are some disadvantages in previous algorithms for BTT signals, including not high precision, strict sensor layout, signal bandwidth limit, and weak anti-noise ability. To solve these problems, a novel interpolation method for wideband signal reconstruction (IWSR) is presented. Simulations are conducted using a lumped parameter model, which shows that IWSR reconstructs noiseless signals with overall errors mainly below 1%, and identifies the exact frequencies of 5 dB noise signals. In addition, the results validate its signal separation function and verify that its sensor layout is almost arbitrary, and its maximum allowable bandwidth is half the product of sensor number and rotational frequency. Experimental results demonstrate its effectiveness in frequency identification. In conclusion, IWSR provides precise information for real-time blade damage diagnosis, which benefits turbomachinery safety.</description><subject>Algorithms</subject><subject>Bandwidths</subject><subject>Blade tip timing</subject><subject>Blade tips</subject><subject>Broadband</subject><subject>Compressors</subject><subject>Damage</subject><subject>Diagnosis</subject><subject>Engineering</subject><subject>Engineering, Multidisciplinary</subject><subject>Instruments & Instrumentation</subject><subject>Interpolation</subject><subject>Layouts</subject><subject>Noise levels</subject><subject>Reconstruction</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>Signal processing</subject><subject>Signal reconstruction</subject><subject>Technology</subject><subject>Time measurement</subject><subject>Turbine blades</subject><subject>Turbomachinery</subject><subject>Vibration</subject><subject>Vibration monitoring</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><recordid>eNqNkc1q3DAURkVpIdMk7-DSZfFUP7ZsL4tp00CgmwS6KeJauko1jKWpJDf07SPHoWQZgZAQ37l8HBHygdE9o0x-PuxnhLREnNHnPaeclfeByf4N2bG-E3XD-M-3ZEe5FDXnDTsj71M6UEqlGOSO_Lr2GeMpHCG74KsZ8-9gKhti9eAMTuBNldy9h2MVUQefclz0U3KChKZaL0cwWGV3Knt2_r56UeiCvLNwTHj5fJ6Tu29fb8fv9c2Pq-vxy02tRTPkurcoW9mhBo7cip6DBhygEVYKSwc5WCFsqzvWARjTSMFhAjEhQMdRdlyck4_b3FMMfxZMWR3CEkvrpHgraMso7WlJDVtKx5BSRKtO0c0Q_ylG1WpTHdSL8mq1qTabhe039gGnYJN26DX-51edDWtaTtclRpefdI5h8bmgn16PlvS4pbH4-uswqmfCuPIDWZngXlH3EcuYpxs</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Chen, Suiyu</creator><creator>Yang, Yongmin</creator><creator>Hu, Haifeng</creator><creator>Guan, Fengjiao</creator><creator>Shen, Guoji</creator><creator>Bian, Zifang</creator><creator>Guo, Haonan</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202105</creationdate><title>Interpolation method for wideband signal reconstruction based on blade tip timing measurement</title><author>Chen, Suiyu ; Yang, Yongmin ; Hu, Haifeng ; Guan, Fengjiao ; Shen, Guoji ; Bian, Zifang ; Guo, Haonan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-8fe6567eca2e2f382acae9a43f63f0969f33f5c717aadd4632aba3beaa72e6723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Bandwidths</topic><topic>Blade tip timing</topic><topic>Blade tips</topic><topic>Broadband</topic><topic>Compressors</topic><topic>Damage</topic><topic>Diagnosis</topic><topic>Engineering</topic><topic>Engineering, Multidisciplinary</topic><topic>Instruments & Instrumentation</topic><topic>Interpolation</topic><topic>Layouts</topic><topic>Noise levels</topic><topic>Reconstruction</topic><topic>Science & Technology</topic><topic>Sensors</topic><topic>Signal processing</topic><topic>Signal reconstruction</topic><topic>Technology</topic><topic>Time measurement</topic><topic>Turbine blades</topic><topic>Turbomachinery</topic><topic>Vibration</topic><topic>Vibration monitoring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Suiyu</creatorcontrib><creatorcontrib>Yang, Yongmin</creatorcontrib><creatorcontrib>Hu, Haifeng</creatorcontrib><creatorcontrib>Guan, Fengjiao</creatorcontrib><creatorcontrib>Shen, Guoji</creatorcontrib><creatorcontrib>Bian, Zifang</creatorcontrib><creatorcontrib>Guo, Haonan</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><jtitle>Measurement : journal of the International Measurement Confederation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Suiyu</au><au>Yang, Yongmin</au><au>Hu, Haifeng</au><au>Guan, Fengjiao</au><au>Shen, Guoji</au><au>Bian, Zifang</au><au>Guo, Haonan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interpolation method for wideband signal reconstruction based on blade tip timing measurement</atitle><jtitle>Measurement : journal of the International Measurement Confederation</jtitle><stitle>MEASUREMENT</stitle><date>2021-05</date><risdate>2021</risdate><volume>176</volume><spage>109168</spage><pages>109168-</pages><artnum>109168</artnum><issn>0263-2241</issn><eissn>1873-412X</eissn><abstract>•Original algorithm for accurate reconstruction of BTT signals.•The maximum allowable signal bandwidth can be extended.•No strict sensor layout is required.•Blade vibration frequency is identified under strong noise.
Blade tip timing (BTT) technique has become a promising way of online damage diagnosis for compressor and turbine blades by monitoring their vibrations. However, there are some disadvantages in previous algorithms for BTT signals, including not high precision, strict sensor layout, signal bandwidth limit, and weak anti-noise ability. To solve these problems, a novel interpolation method for wideband signal reconstruction (IWSR) is presented. Simulations are conducted using a lumped parameter model, which shows that IWSR reconstructs noiseless signals with overall errors mainly below 1%, and identifies the exact frequencies of 5 dB noise signals. In addition, the results validate its signal separation function and verify that its sensor layout is almost arbitrary, and its maximum allowable bandwidth is half the product of sensor number and rotational frequency. Experimental results demonstrate its effectiveness in frequency identification. In conclusion, IWSR provides precise information for real-time blade damage diagnosis, which benefits turbomachinery safety.</abstract><cop>OXFORD</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2021.109168</doi><tpages>15</tpages></addata></record> |
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subjects | Algorithms Bandwidths Blade tip timing Blade tips Broadband Compressors Damage Diagnosis Engineering Engineering, Multidisciplinary Instruments & Instrumentation Interpolation Layouts Noise levels Reconstruction Science & Technology Sensors Signal processing Signal reconstruction Technology Time measurement Turbine blades Turbomachinery Vibration Vibration monitoring |
title | Interpolation method for wideband signal reconstruction based on blade tip timing measurement |
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