Fiber Bragg grating based acceleration sensors: A review
Y Guo, M Chen, L Xiong, X Zhou, C Li - Sensor Review, 2021 - emerald.com
Purpose The purpose of this study is to present the state of the art for fiber Bragg grating
(FBG) acceleration sensing technologies from two aspects: the principle of the measurement …
(FBG) acceleration sensing technologies from two aspects: the principle of the measurement …
Robust And Efficient Classification of Fault in Ball Bearings Using Machine Learning
R Jeevitha, S Machchanandhini… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Early the identification of flaws in heading can save time, effort, and support costs associated
with turning supplies. To obtain bearing wellbeing monitoring under a range of loads and …
with turning supplies. To obtain bearing wellbeing monitoring under a range of loads and …
[PDF][PDF] Fault Detection in Robotic Perception using Machine Learning
S Nandagopal, G Abirami, S Bharathi, S Subhashree… - 2022 - irjweb.com
Opportune discovery of issues in heading can save time, endeavours and support expenses
of turning supplies. To keep away from the actual association of vibration pickup to the …
of turning supplies. To keep away from the actual association of vibration pickup to the …
Detection of Malfunctioning Photovoltaic Cells in Solar Panel
A Sabari, S Achuthan, V Muthukumar… - International Journal of … - neliti.com
Solar energy plays a significant role in electricity generation in today's society. Solar panels
are used to generate solar energy. Solar panel consists collection of PV cells which produce …
are used to generate solar energy. Solar panel consists collection of PV cells which produce …
[引用][C] NON-CONTACT FAULT DIAGNOSIS OF BEARINGS IN MACHINE LEARNING ENVIRONMENT.
V Karuppuchamy, SM Kumar, K Prasanth, K Sankar… - International Journal of …, 2022