Abstract
In the current era of emerging technologies such as deep learning, artificial intelligence, multimedia data analysis, Internet of Things (IoT), the significant role of vibration analysis can be seen in biomedical, nonlinear dynamics, and control engineering. Despite the numerous applications, lots of challenges and issues are still needed to address like nonlinearity, fault diagnosis, vibration spectrum analysis, and biomedical data monitoring and processing. The aim of this Special Issue is to cover and address all the aforesaid challenges and issues and practical solutions for such emerging technologies. We have received 21 manuscripts in total for this Special Issue across the globe and after the rigorous review process, only 10 manuscripts have been accepted for publication. A brief overview of contributions to this Special Issue is as underneath.
Highlights
In the current era of emerging technologies such as deep learning, artificial intelligence, multimedia data analysis, Internet of Things (IoT), the significant role of vibration analysis can be seen in biomedical, nonlinear dynamics, and control engineering
Lots of challenges and issues are still needed to address like nonlinearity, fault diagnosis, vibration spectrum analysis, and biomedical data monitoring and processing
We have received 21 manuscripts in total for this Special Issue across the globe and after the rigorous review process, only 10 manuscripts have been accepted for publication
Summary
Lots of challenges and issues are still needed to address like nonlinearity, fault diagnosis, vibration spectrum analysis, and biomedical data monitoring and processing. Zhu Jia, and Ashutosh Sharma contributes an article entitled “An Exhaustive Study Engine Vibration Fault Analysis Based on Data Mining”.
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