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The Journal of Engineering
Article . 2022 . Peer-reviewed
License: CC BY
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The Journal of Engineering
Article . 2022
Data sources: DOAJ
https://dx.doi.org/10.60692/pe...
Other literature type . 2022
Data sources: Datacite
https://dx.doi.org/10.60692/r9...
Other literature type . 2022
Data sources: Datacite
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Vibration signal diagnosis and conditional health monitoring of motor used in biomedical applications using Internet of Things environment

تشخيص إشارة الاهتزاز والمراقبة الصحية المشروطة للمحرك المستخدم في التطبيقات الطبية الحيوية باستخدام بيئة إنترنت الأشياء
Authors: Dong Wang; Lihua Dai; Xiaojun Zhang; Shabnam Sayyad; R. Sugumar; K. Ravi Kumar; Evans Asenso;

Vibration signal diagnosis and conditional health monitoring of motor used in biomedical applications using Internet of Things environment

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.

Keywords

biomedical applications, modal damping, FOS: Computer and information sciences, Pulmonary and Respiratory Medicine, Finite element method, Chassis, Modal analysis, Component (thermodynamics), Structural engineering, Vibration, Analysis of Cardiac and Respiratory Sounds, Engineering, Artificial Intelligence, Health Sciences, vibration reduction, chassis equipment, Polymer chemistry, Smart Technology and Data Analytics Applications, vibration analysis, Physics, Optimization of Big Data Processing and Analysis, Harmonic, Acoustics, Engineering (General). Civil engineering (General), internet of things, Computer science, Materials science, Programming language, Algorithm, SIGNAL (programming language), Computer Science, Physical Sciences, Computation, Medicine, Signal Analysis, Natural frequency, Thermodynamics, TA1-2040, Modal, Information Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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