Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review

Y Sun, W Wang - Engineering Failure Analysis, 2024 - Elsevier
In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

Monthly runoff prediction based on a coupled VMD-SSA-BiLSTM model

X Zhang, X Wang, H Li, S Sun, F Liu - Scientific Reports, 2023 - nature.com
The accurate prediction of monthly runoff in the lower reaches of the Yellow River is crucial
for the rational utilization of regional water resources, optimal allocation, and flood …

Boosting short term electric load forecasting of high & medium voltage substations with visibility graphs and graph neural networks

N Giamarelos, EN Zois - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Modern power grids are faced with a series of challenges, such as the ever-increasing
demand for renewable energy sources, extensive urbanization, climate and energy crisis …

Utilizing virtual power plants to support main grid for frequency regulation

J Guo, C Dou, D Yue, Z Zhang - Electric Power Systems Research, 2024 - Elsevier
In this paper, a new control architecture of virtual power plants (VPP) is proposed for the
frequency regulation (FR) in main grid. Firstly, to address the power prediction of …

A Virtual Reality Environment Based on Infrared Thermography for the Detection of Multiple Faults in Kinematic Chains

AI Alvarado-Hernandez, D Checa, RA Osornio-Rios… - Electronics, 2024 - mdpi.com
Kinematic chains are crucial in numerous industrial settings, playing a key role in various
processes. Over recent years, several methods have been developed to monitor and …

Detection of simultaneous bearing faults fusing cross correlation with multikernel SVM

A Biswas, S Ray, D Dey, S Munshi - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Detection of simultaneous bearing faults for condition monitoring (CM) of bearings using
time-domain analysis is quite challenging and open area, particularly in noisy environment …

A CNN-BILSTM monthly rainfall prediction model based on SCSSA optimization

X Zhang, Y Yang, J Liu, Y Zhang… - Journal of Water and …, 2024 - iwaponline.com
Meteorological conditions play an important role in China's national production, and the
accurate prediction of precipitation is of great significance for social production, flood …

ORgram: semi-supervised learning framework for inline bearing diagnosis in varying speed

CY Hung, CY Lee, CH Tsai, JM Wu - The International Journal of …, 2024 - Springer
Based on the fast kurtogram, many previous studies have focused on frequency band
selection (FBS) affected by interference due to impulsive noise and varying speed …

An Anti-Noise Feature Extraction and Improved Harris Hawks Optimization for On-Load Tap Changer Mechanical Fault Diagnosis

X Liang, Y Wang, H Gu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Traditional on-load tap changer (OLTC) mechanical fault diagnosis methods often focus on
vibration burst data in the diverter switch moving stage but neglect the entire vibration signal …

A symmetric adaptive visibility graph classification method of orthogonal signals for automatic modulation classification

H Bai, J Yang, M Huang, W Li - IET Communications, 2023 - Wiley Online Library
Visibility graph methods allow time series to mine non‐Euclidean spatial features of
sequences by using graph neural network algorithms. Unlike the traditional fixed‐rule …