Vibration signal diagnosis and conditional health monitoring of motor used in biomedical applications using Internet of Things environment. Issue 11 (20th October 2022)

• Record Type: Journal Article
• Authors: Wang, Dong; Dai, Lihua; Zhang, Xiaojun; Sayyad, Shabnam; Sugumar, R.; Kumar, Khushmeet; Asenso, Evans
• Is Part Of: Journal of engineering. Volume 2022:Issue 11(2022)
• Page Start: 1124
• Page End: 1132
• Publication Date: 2022-10-20
• Subjects: biomedical applications -- chassis equipment -- internet of things -- modal damping -- vibration analysis -- vibration reduction; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/tje2.12203
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract: Vibration, especially basic vibration, may cause loose contacts, open circuits, or other contact problems, which account for a large proportion of system failure causes. Due to the complexity of the chassis structure used in the biomedical motors, the vibration analysis of a single component cannot solve the vibration problems encountered in the work of the system. Therefore, it is necessary to use system simulation and experiments to monitor and enhance the health of the structure. Finite element method is used to carry out the dynamic analysis from the component to the system, and calculate the natural frequency, modal shape and harmonic response. Then, the effectiveness and accuracy of the analysis results are verified by experiments through simulation and experiments. The results show that the measures taken have effectively reduced the vibration of the chassis equipment and improved its safety for better health safety of patients. There is just a 2% variation between the natural frequencies acquired from the experiment and the simulation computation. In terms of natural frequency, the first 6‐order natural frequencies all have errors of less than 10%, and the natural frequency error is comparable to that of fireproof board.