Recent advances in damage detection of wind turbine blades: A state-of-the-art review
P Kaewniam, M Cao, NF Alkayem, D Li… - … and Sustainable Energy …, 2022 - Elsevier
Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …
greener environment. In recent years, a rapid growth in the development and installation of …
In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures
Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …
Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier
X Yang, Y Zhang, W Lv, D Wang - Renewable Energy, 2021 - Elsevier
An image recognition model based on a deep learning network is proposed for the
automatic extraction of image features and the accurate and efficient detection of wind …
automatic extraction of image features and the accurate and efficient detection of wind …
Structural Health Monitoring using deep learning with optimal finite element model generated data
Abstract Identifying damage through Structural Health Monitoring (SHM) methods is
increasingly attracting attention due to multiple maintenance and failure prevention …
increasingly attracting attention due to multiple maintenance and failure prevention …
Applications of K-nearest neighbor algorithm in intelligent diagnosis of wind turbine blades damage
Y Tang, Y Chang, K Li - Renewable Energy, 2023 - Elsevier
Heavy losses in the wind power generation system are incurred when the wind turbine
blades are severely damaged beyond repair. Therefore, an immediate repair at an initial …
blades are severely damaged beyond repair. Therefore, an immediate repair at an initial …
A FBG pull-wire vertical displacement sensor for health monitoring of medium-small span bridges
S Li, Z Liang, P Guo - Measurement, 2023 - Elsevier
With the increase of service life, a growing number of medium-small span bridges have
suffered degradation and even serious damage, and the vertical displacement is one of the …
suffered degradation and even serious damage, and the vertical displacement is one of the …
基于时域响应相关性分析及数据融合的结构损伤检测研究.
王慧， 王乐， 田润泽 - Engineering Mechanics/Gongcheng …, 2020 - search.ebscohost.com
基于时域振动响应的结构损伤检测方法因其便于实现在线监测受到了越来越多的关注.
该文回顾了两种利用时域响应相关函数建立的结构特征向量(即内积向量及互相关函数幅值向量) …
该文回顾了两种利用时域响应相关函数建立的结构特征向量(即内积向量及互相关函数幅值向量) …
Ensemble of recurrent neural networks with long short-term memory cells for high-rate structural health monitoring
The deployment of systems experiencing high-rate dynamic events, such as hypersonic
vehicles, advanced weaponry, and active blast mitigation systems, require high-rate …
vehicles, advanced weaponry, and active blast mitigation systems, require high-rate …
Model error effects in supervised damage identification of structures with numerically trained classifiers
P Seventekidis, D Giagopoulos - Mechanical Systems and Signal …, 2023 - Elsevier
Progress in the field of Structural Health Monitoring (SHM) includes applications of model
data approaches with numerically generated responses originating from Finite Element (FE) …
data approaches with numerically generated responses originating from Finite Element (FE) …
Adaptive iterative approach for efficient signal processing of blade tip timing
Blade health monitoring (BHM) is an important technology to ensure safe operation of
turbine machinery. The blade tip timing (BTT) method is a non-contact approach of vibration …
turbine machinery. The blade tip timing (BTT) method is a non-contact approach of vibration …