{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T15:55:59Z","timestamp":1774626959623,"version":"3.50.1"},"reference-count":26,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A combined stress-vibration sensor was developed to measure stress and vibration simultaneously based on fiber Bragg grating (FBG) technology. The sensor is composed of two FBGs and a stainless steel plate with a special design. The two FBGs sense vibration and stress and the sensor can realize temperature compensation by itself. The stainless steel plate can significantly increase sensitivity of vibration measurement. Theoretical analysis and Finite Element Method (FEM) were used to analyze the sensor\u2019s working mechanism. As demonstrated with analysis, the obtained sensor has working range of 0\u20136000 Hz for vibration sensing and 0\u2013100 MPa for stress sensing, respectively. The corresponding sensitivity for vibration is 0.46 pm\/g and the resulted stress sensitivity is 5.94 pm\/MPa, while the nonlinearity error for vibration and stress measurement is 0.77% and 1.02%, respectively. Compared to general FBGs, the vibration sensitivity of this sensor is 26.2 times higher. Therefore, the developed sensor can be used to concurrently detect vibration and stress. As this sensor has height of 1 mm and weight of 1.15 g, it is beneficial for minimization and integration.<\/jats:p>","DOI":"10.3390\/s18030743","type":"journal-article","created":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T12:15:44Z","timestamp":1519906544000},"page":"743","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Modeling and Analysis of a Combined Stress-Vibration Fiber Bragg Grating Sensor"],"prefix":"10.3390","volume":"18","author":[{"given":"Kun","family":"Yao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Qijing","family":"Lin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"},{"name":"Collaborative Innovation Center of High-End Manufacturing Equipment, Xi\u2019an Jiaotong University, Xi\u2019an 710054, China"},{"name":"State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China"}]},{"given":"Zhuangde","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Na","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Bian","family":"Tian","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Peng","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Gang-Ding","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Telecommunications, UNSW, Sydney, NSW 2052, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rser.2007.05.008","article-title":"Condition monitoring and fault detection of wind turbines and related algorithms: A review","volume":"13","author":"Hameed","year":"2009","journal-title":"Renew. 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