Rotary machine vibration monitoring and smart balance correction
During the rotary machine operation process, seemingly small amounts of abnormal vibration can often cause serious damage to the machinery over time and even increase the risk of accidents. Although professional vibration engineers can determine the current health status of a machine by interpreting...
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| Vydáno v: | Advances in mechanical engineering Ročník 12; číslo 6 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London, England
SAGE Publications
01.06.2020
Sage Publications Ltd SAGE Publishing |
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| ISSN: | 1687-8132, 1687-8140 |
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| Abstract | During the rotary machine operation process, seemingly small amounts of abnormal vibration can often cause serious damage to the machinery over time and even increase the risk of accidents. Although professional vibration engineers can determine the current health status of a machine by interpreting the vibration spectrum information and predicting which components will fail, if even ordinary operators can send feedback regarding the vibration signals reaching the human–machine interface through a system when an abnormality is detected in the machine, the abnormality can be made known and processed in time. This can prevent the magnified impact of rotary inertia, thereby lowering the risk of major damage and the failure of machinery and equipment, as well as effectively saving on equipment maintenance costs. This study mainly adopted LabVIEW and Arduino IDE to develop a control program and human–machine monitoring interface. As the initial experiment on rotary machine vibration monitoring and smart balance correction, the measurement system setup in this study was applied to determine vibration abnormality as well as to carry out continuous online automatic balance correction. Experimental verification was carried out using active correction and smart correction. In terms of active online balance correction, the amplitude correction rate was 96%, the double-frequency correction rate was 102.9%, and the correction process was performed in 5 min. In terms of smart balance correction, the amplitude correction rate was 103.8%, the double-frequency correction rate was 103.3%, and the correction process was performed in 3 min. Through feedback signaling, the operator can effectively learn the current health status of the mechanical equipment from the human–machine interface. |
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| AbstractList | During the rotary machine operation process, seemingly small amounts of abnormal vibration can often cause serious damage to the machinery over time and even increase the risk of accidents. Although professional vibration engineers can determine the current health status of a machine by interpreting the vibration spectrum information and predicting which components will fail, if even ordinary operators can send feedback regarding the vibration signals reaching the human–machine interface through a system when an abnormality is detected in the machine, the abnormality can be made known and processed in time. This can prevent the magnified impact of rotary inertia, thereby lowering the risk of major damage and the failure of machinery and equipment, as well as effectively saving on equipment maintenance costs. This study mainly adopted LabVIEW and Arduino IDE to develop a control program and human–machine monitoring interface. As the initial experiment on rotary machine vibration monitoring and smart balance correction, the measurement system setup in this study was applied to determine vibration abnormality as well as to carry out continuous online automatic balance correction. Experimental verification was carried out using active correction and smart correction. In terms of active online balance correction, the amplitude correction rate was 96%, the double-frequency correction rate was 102.9%, and the correction process was performed in 5 min. In terms of smart balance correction, the amplitude correction rate was 103.8%, the double-frequency correction rate was 103.3%, and the correction process was performed in 3 min. Through feedback signaling, the operator can effectively learn the current health status of the mechanical equipment from the human–machine interface. |
| Author | Chen, Wei-Yu Hsu, Cheung-Hwa Fan, Gui-Jie Ou, Chao-Hui |
| Author_xml | – sequence: 1 givenname: Chao-Hui orcidid: 0000-0001-6062-6847 surname: Ou fullname: Ou, Chao-Hui – sequence: 2 givenname: Cheung-Hwa surname: Hsu fullname: Hsu, Cheung-Hwa email: chhsu@kuas.edu.tw – sequence: 3 givenname: Gui-Jie surname: Fan fullname: Fan, Gui-Jie – sequence: 4 givenname: Wei-Yu surname: Chen fullname: Chen, Wei-Yu |
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| Cites_doi | 10.1115/1.3438997 10.1016/j.jsv.2005.12.024 10.1115/1.3670532 10.1243/PIME_PROC_1990_204_071_02 10.1016/0022-460X(78)90581-3 10.1006/jsvi.1996.0353 10.1115/1.1606693 10.1243/JMES_JOUR_1981_023_046_02 10.1243/PIME_PROC_1987_201_134_02 |
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| Keywords | human–machine monitoring interface Arduino IDE smart balance correction LabVIEW vibration monitoring |
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| References | Little 1976; 98 Kang, Liu, Sheen 1996; 194 Lee, Kim 1990; 204 Lee, Kim 1987; 201 Hredzak, Guo 2006; 294 Tonnesen 2003; 125 Van, Vegte 1981; 23 Dyer, Zhuang, Ni 2000; 28 Goodman 1964; 86 Van, Vegte, Lake 1978; 57 bibr7-1687814020936032 bibr12-1687814020936032 bibr1-1687814020936032 Dyer SW (bibr9-1687814020936032) 2000; 28 bibr4-1687814020936032 bibr10-1687814020936032 bibr3-1687814020936032 bibr5-1687814020936032 Lee S-H (bibr11-1687814020936032) bibr6-1687814020936032 Rieger NF (bibr2-1687814020936032) 1967 bibr8-1687814020936032 |
| References_xml | – volume: 57 start-page: 225 year: 1978 end-page: 235 article-title: Balancing of rotating systems during operation publication-title: J Sound Vib – volume: 23 start-page: 257 year: 1981 end-page: 261 article-title: Balancing of flexible rotors during operation publication-title: J Mech Eng Sci – volume: 201 start-page: 349 year: 1987 end-page: 355 article-title: Modal balancing of flexible rotors during operation: design and manual operation of balancing head publication-title: Proc Inst Mech Eng C J Mech Eng Sci – volume: 86 start-page: 273 year: 1964 end-page: 279 article-title: A least-squares method for computing balance corrections publication-title: J Eng Ind: Trans ASME – volume: 204 start-page: 19 year: 1990 end-page: 28 article-title: Automatic modal balancing of flexible rotors during operation: computer control balancing head publication-title: Proc Inst Mech Eng C J Mech Eng Sci – volume: 294 start-page: 737 year: 2006 end-page: 751 article-title: New electromechanical balancing device for active imbalance compensation publication-title: J Sound Vib – volume: 125 start-page: 482 year: 2003 end-page: 488 article-title: Theories versus tests, part 1: balancing and response of flexible rotors publication-title: J Vib Acoust – volume: 194 start-page: 199 year: 1996 end-page: 218 article-title: A modified influence coefficient method for balancing unsymmetrical rotor-bearing system publication-title: J Sound Vib – volume: 98 start-page: 1030 year: 1976 end-page: 1035 article-title: A linear programming approach for balancing flexible rotors publication-title: J Eng Ind: Trans ASME – volume: 28 start-page: 1 year: 2000 end-page: 8 article-title: Auto-tuning adaptive supervisory control of single-plane active balancing systems publication-title: Trans NAMRI/SME – ident: bibr3-1687814020936032 doi: 10.1115/1.3438997 – start-page: 659 volume-title: Proceedings of the 2005 international symposium on computational intelligence in robotics and automation ident: bibr11-1687814020936032 – volume: 28 start-page: 1 year: 2000 ident: bibr9-1687814020936032 publication-title: Trans NAMRI/SME – ident: bibr12-1687814020936032 doi: 10.1016/j.jsv.2005.12.024 – ident: bibr1-1687814020936032 doi: 10.1115/1.3670532 – ident: bibr8-1687814020936032 doi: 10.1243/PIME_PROC_1990_204_071_02 – ident: bibr5-1687814020936032 doi: 10.1016/0022-460X(78)90581-3 – ident: bibr4-1687814020936032 doi: 10.1006/jsvi.1996.0353 – volume-title: Computer program for balancing of flexible rotors year: 1967 ident: bibr2-1687814020936032 – ident: bibr10-1687814020936032 doi: 10.1115/1.1606693 – ident: bibr6-1687814020936032 doi: 10.1243/JMES_JOUR_1981_023_046_02 – ident: bibr7-1687814020936032 doi: 10.1243/PIME_PROC_1987_201_134_02 |
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| SubjectTerms | Amplitudes Equipment costs Feedback Impact damage Maintenance costs Rotary inertia Rotary machines Vibration measurement Vibration monitoring |
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| Title | Rotary machine vibration monitoring and smart balance correction |
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