Analysis of wind turbine equipment failure and intelligent operation and maintenance research

H Peng, S Li, L Shangguan, Y Fan, H Zhang - Sustainability, 2023 - mdpi.com
Power generation from wind farms is growing rapidly around the world. In the past decade,
wind energy has played an important role in contributing to sustainable development …

Vision-based detection of bolt loosening using YOLOv5

Y Sun, M Li, R Dong, W Chen, D Jiang - Sensors, 2022 - mdpi.com
Bolted connections have been widely applied in engineering structures, loosening will
happen when bolted connections are subjected to continuous cyclic load, and a significant …

An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series …

H Ghamkhar, MJ Ghazizadeh, SH Mohajeri… - Sustainable Cities and …, 2023 - Elsevier
The expansion of cities puts a high demand on water utilities to provide fresh water amidst
global water stress. One of the most challenging issues that continuously menaces water …

Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing

J Wang, F Zhang, L Zhang, M Jiang - Advanced Engineering Informatics, 2022 - Elsevier
Periodic fault impulses, inevitably occurring along with a localized defect, are crucial for
incipient fault diagnosis of rotating machinery. Whereas, they are awfully weak and masked …

Feature extraction methods of ship-radiated noise: From single feature of multi-scale dispersion Lempel-Ziv complexity to mixed double features

Y Li, X Jiang, B Tang, F Ning, Y Lou - Applied Acoustics, 2022 - Elsevier
Abstract Dispersion Lempel-Ziv complexity (DLZC) has been introduced into the field of
underwater acoustic with great performance, but it only reflects complexity information from …

Improved variational mode decomposition and CNN for intelligent rotating machinery fault diagnosis

Q Xiao, S Li, L Zhou, W Shi - Entropy, 2022 - mdpi.com
This paper proposes an intelligent diagnosis method for rotating machinery faults based on
improved variational mode decomposition (IVMD) and CNN to process the rotating …

Refined composite hierarchical multiscale Lempel-Ziv complexity: A quantitative diagnostic method of multi-feature fusion for rotating energy devices

Z Zhao, F Chen, Z Gui, D Liu, J Yang - Renewable Energy, 2023 - Elsevier
Digitalization and intellectualization of energy system require the fault information of energy
conversion devices to be captured as accurately as possible from the massive data, so as to …

Bearing fault feature extraction method based on enhanced differential product weighted morphological filtering

X Yan, T Liu, M Fu, M Ye, M Jia - Sensors, 2022 - mdpi.com
Aimed at the problem of fault characteristic information bearing vibration signals being easily
submerged in some background noise and harmonic interference, a new algorithm named …

Multi-scale permutation Lempel-Ziv complexity and its application in feature extraction for Ship-radiated noise

Y Yi, Y Li, J Wu - Frontiers in Marine Science, 2022 - frontiersin.org
Permutation Lempel-Ziv complexity (PLZC) is a recently proposed method for analyzing
signal complexity. However, PLZC only characterizes the signal complexity from single scale …

Manifold learning and Lempel-Ziv complexity-based fault severity recognition method for bearing

J Yin, X Zhuang, W Sui, Y Sheng - Measurement, 2023 - Elsevier
The health condition of bearings was related to the operation status of mechanical
equipment, and there were relatively few methods to recognize the severity of bearing faults …