{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:30:53Z","timestamp":1758274253273,"version":"3.41.2"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":298,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20181BAB206022"],"award-info":[{"award-number":["20181BAB206022"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51565037","52165015"],"award-info":[{"award-number":["51565037","52165015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>In this paper, we analyze the performance of mechanical equipment through a closed\u2010loop feedback health monitoring vibration sensor, develop an OTDR optical signal reception and the processing module, and realize the reception, amplification, and filtering of the backscattered optical signal. In terms of vibration signal demodulation, the FPGA signal processing module was developed and debugged to realize the intermodulation with OTDR optical signal reception processing module and the preprocessing of the vibration data stream by taking advantage of the FPGA in parallel high\u2010speed data stream processing. The objective function is constructed based on the dynamic data of the first four vertical frequencies of the modal recognition and the static data of the constant\u2010load cable force of the inclined cable, and the third\u2010order response surface method is applied to fit the response surface function of each correction target. The errors between the corrected FEM calculated values and the measured results are within 5%. The results were compared with the results of static and dynamic corrections, and the results showed that the joint static and dynamic corrections using the third\u2010order response surface could obtain a finite element model that was more comprehensive and closer to the actual engineering response. A 180\u00b0 feedback gain is set in the mass detection system to reduce the system\u2019s equivalent mass and increase the system resonant frequency. An inverse lock\u2010in amplifier is used instead of a high\u2010frequency bandpass filter to spectrally migrate the useful frequencies and better filter out noise interference. A thin\u2010film microresonant pressure sensor, a cantilever beam microresonant gas sensor, and a microresonant biosensor were designed and developed using the micromachining process. A closed\u2010loop feedback method was used to design a low\u2010frequency detection system, a medium\u2010frequency detection system, and a high\u2010frequency feedback detection based on a phase\u2010locked loop system, completed open\u2010loop and closed\u2010loop detection experiments of the intrinsic frequency of the sensor, through\u2010pressure experiments of the pressure sensor, low and medium frequency gas\u2010sensitive experiments of the gas sensor, and high\u2010frequency detection experiments of the biosensor oxygen absorption\/deoxygenation, and measured the mass of individual oxygen molecules.<\/jats:p>","DOI":"10.1155\/2021\/6348347","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T19:50:23Z","timestamp":1635277823000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Performance Analysis of Vibration Sensors for Closed\u2010Loop Feedback Health Monitoring of Mechanical Equipment"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3825-006X","authenticated-orcid":false,"given":"Yue","family":"Xiao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4929-4439","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Changbao","family":"Chu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,10,26]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-05663-6"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.5604\/01.3001.0013.4079"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1021\/acsami.0c10672"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01500-0"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1021\/acsnano.9b06576"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41578-020-00235-2"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2869115"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2020.3022983"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2870933"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/sys.21565"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2017.23.1.4"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40436-017-0203-8"},{"key":"e_1_2_9_13_2","first-page":"31","article-title":"Fault detection and diagnosis methods in power generation plants-the Indian power generation sector perspective: an introductory review","volume":"2","author":"Patel H. 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