A comprehensive review on self-powered smart bearings
Recently, with the development of industrial informatization and intellectualization, the
development of smart bearings has attracted a lot of significant attention in an attempt to …
development of smart bearings has attracted a lot of significant attention in an attempt to …
Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural network
F Dao, Y Zeng, J Qian - Energy, 2024 - Elsevier
The hydro-turbine is the core equipment of the hydropower station, and it is essential to
diagnose and identify its faults. A fault diagnosis model based on Bayesian optimization …
diagnose and identify its faults. A fault diagnosis model based on Bayesian optimization …
[HTML][HTML] Estimation of soil moisture in drip-irrigated citrus orchards using multi-modal UAV remote sensing
Z Wu, N Cui, W Zhang, Y Yang, D Gong, Q Liu… - Agricultural Water …, 2024 - Elsevier
Accurate and timely prediction of soil moisture in orchards is crucial for making informed
irrigation decisions at a regional scale. Conventional methods for monitoring soil moisture …
irrigation decisions at a regional scale. Conventional methods for monitoring soil moisture …
BearingPGA-Net: A lightweight and deployable bearing fault diagnosis network via decoupled knowledge distillation and FPGA acceleration
Deep learning has achieved remarkable success in the field of bearing fault diagnosis.
However, this success comes with larger models and more complex computations, which …
However, this success comes with larger models and more complex computations, which …
FPGA-based implementation of stochastic configuration network for robotic grasping recognition
Precise and rapid grasping recognition based on machine vision is one of the challenging
problems for intelligent robots. As a nonlinear network for recognition, the stochastic …
problems for intelligent robots. As a nonlinear network for recognition, the stochastic …
A real-time fault detection framework based on unsupervised deep learning for prognostics and health management of railway assets
M Shimizu, S Perinpanayagam, B Namoano - IEEE Access, 2022 - ieeexplore.ieee.org
Fault detection based on deep learning has been intensively investigated in the recent
decade due to increasing availability of data and its ability to engineer features with deep …
decade due to increasing availability of data and its ability to engineer features with deep …
High performance platform to detect faults in the Smart Grid by Artificial Intelligence inference
Inferring faults throughout the power grid involves fast calculation, large scale of data, and
low latency. Our heterogeneous architecture in the edge offers such high computing …
low latency. Our heterogeneous architecture in the edge offers such high computing …
A Study on Deep Learning Frameworks to Understand the Real Time Fault Detection and Diagnosis in IT Operations with AIOPs
Business operations in the recent Era are highly complex and demand high throughput
technology to address the needs. Artificial Intelligence for IT Operations (AIOPs) plays a vital …
technology to address the needs. Artificial Intelligence for IT Operations (AIOPs) plays a vital …
A fault protection strategy based on Z-source solid state circuit breaker for more electric aircraft
High-voltage direct-current (HVDC) rated at 270 Vdc is one of the main power supply
technologies expected for future more electric aircraft (MEA); however, dc protection is still …
technologies expected for future more electric aircraft (MEA); however, dc protection is still …
Multi-Dimensional Time-Series Shapelet Based Real-Time Fault Detection and Localization on ISS Electrical Power Distribution System
Q Liu, W Chen, V Dinavahi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
International Space Station (ISS) is a grand invention for human beings to have a chance at
exploring the outer space. Its operation is completely dependent on the autonomous power …
exploring the outer space. Its operation is completely dependent on the autonomous power …