Fiber optic fiber bragg grating sensing for monitoring and testing of electric machinery: Current state of the art and outlook

AA Suryandi, N Sarma, A Mohammed, V Peesapati… - Machines, 2022 - mdpi.com
This paper presents a review of the recent trends and the current state of the art in the
application of fiber optic fiber Bragg gratings (FBG) sensing technology to condition the …

Progress of fiber Bragg grating sensors in state perception of electrical equipment

YT Sun, HZ Ma - Measurement, 2023 - Elsevier
In recent years, fiber optic sensors, primarily based on fiber Bragg gratings (FBGs), have
been gradually applied in the monitoring of electrical equipment. This article provides an …

AI‐enabled metal‐polymer plain bearing based on the triboelectric principle

M Gao, T Sun, Y Li, Z Zhang, C Lee… - Advanced Functional …, 2023 - Wiley Online Library
With the rapid development of the Internet of Things and artificial intelligence (AI), the
requirement for sensing technologies for smart bearings has increased dramatically. The …

Bearing fault event-triggered diagnosis using a variational mode decomposition-based machine learning approach

H Habbouche, Y Amirat, T Benkedjouh… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The monitoring of rolling element bearing is indexed as a critical task for condition-based
maintenance in various industrial applications. It allows avoiding unscheduled maintenance …

Bearing fault detection in three-phase induction motors using support vector machine and fiber Bragg grating

B Brusamarello, JCC Da Silva… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Due to its robustness and cost-effectiveness, the three-phase induction motor (TIM) has
become the most widespread electric machine today. However, like any other equipment, it …

AI-enabled rolling triboelectric nanogenerator for bearing wear diagnosis aiming at digital twin application

F Dong, M Zhu, Y Wang, Z Chen, Y Dai, Z Xi, T Du… - Nano Energy, 2025 - Elsevier
In the era of artificial intelligence (AI) and digitization, developing self-monitoring and smart-
diagnosis bearings has become a meaningful yet challenging problem. This study …

Diagnosis for slight bearing fault in induction motor based on combination of selective features and machine learning

H Nakamura, Y Mizuno - Energies, 2022 - mdpi.com
Induction motors are widely used in industry and are essential to industrial processes. The
faults in motors lead to high repair costs and cause financial losses resulting from …

Grease-lubricated triboelectric instantaneous angular speed sensor integrated with signal processing circuit for bearing fault diagnosis

Z Zhao, X Wang, Y Hu, Z Li, L Li, L Wu - Nano Energy, 2023 - Elsevier
The triboelectric sensor can be integrated with the rolling bearing to diagnose bearing faults
by monitoring the periodic fluctuation of instantaneous angular speed, yet continuous dry …

Direct on chip thermal measurement in IGBT modules using FBG technology—Sensing head interfacing

S Chen, D Vilchis-Rodriguez, S Djurović… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper assesses the suitability of the use of Fiber Bragg Grating Sensors for effective in-
situ sensing of the IGBT junction temperature. To this end, the optical sensor is installed on …

[HTML][HTML] Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges

A Ghafoor, J Aldahmashi, J Apsley, S Djurović, X Ma… - Energies, 2024 - mdpi.com
This paper reviews renewable energy integration with the electrical power grid through the
use of advanced solutions at the device and system level, using smart operation with better …