Fault diagnosis methods based on machine learning and its applications for wind turbines: A review

T Sun, G Yu, M Gao, L Zhao, C Bai, W Yang - Ieee Access, 2021 - ieeexplore.ieee.org
With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …

A 2DCNN-RF model for offshore wind turbine high-speed bearing-fault diagnosis under noisy environment

S Yang, P Yang, H Yu, J Bai, W Feng, Y Su, Y Si - Energies, 2022 - mdpi.com
The vibration signals for offshore wind-turbine high-speed bearings are often contaminated
with noises due to complex environmental and structural loads, which increase the difficulty …

Cost-sensitive extremely randomized trees algorithm for online fault detection of wind turbine generators

M Tang, Y Chen, H Wu, Q Zhao, W Long… - Frontiers in Energy …, 2021 - frontiersin.org
The number of normal samples of wind turbine generators is much larger than the number of
fault samples. To solve the problem of imbalanced classification in wind turbine generator …

Composite fault diagnosis of gearbox based on empirical mode decomposition and improved variational mode decomposition

J Wang, J Li, H Wang, L Guo - Journal of Low Frequency …, 2021 - journals.sagepub.com
In order to identify the nonlinear nonstationary pitting-wear fault signal of gears in gearbox, a
new method of composite fault diagnosis for gearbox is proposed, which combines empirical …

An adjustment method of geometry and mass centers for precision rotors assembly

C Sun, Z Liu, Y Liu, X Wang, J Tan - IEEE Access, 2019 - ieeexplore.ieee.org
The paper aims to provide an adjustment method to reduce coaxiality and initial unbalance
for precision rotors assembly, such as aero engine, gas turbine and so on. The propagation …

A CBA‐KELM‐Based Recognition Method for Fault Diagnosis of Wind Turbines with Time‐Domain Analysis and Multisensor Data Fusion

X Long, P Yang, H Guo, Z Zhao, X Wu - Shock and Vibration, 2019 - Wiley Online Library
Fault diagnosis technology (FDT) is an effective tool to ensure stability and reliable
operation in wind turbines. In this paper, a novel fault diagnosis methodology based on a …

Power grid fault diagnosis method using intuitionistic fuzzy petri nets based on time series matching

M Tan, J Li, X Chen, X Cheng - Complexity, 2019 - Wiley Online Library
To improve the reliability of power grid fault diagnosis by enhancing the processing ability of
uncertain information and adequately utilizing the alarm information about power grids, a …

Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full‐Scale Testing

YH Seo, MS Ryu, KY Oh - Complexity, 2020 - Wiley Online Library
The dynamic characteristics of an offshore wind turbine with tripod suction buckets are
investigated through finite element analysis and full‐scale experiments. In finite element …

Fault detection for pitch system of wind turbine-driven doubly fed based on IHHO-LightGBM

M Tang, Z Peng, H Wu - Applied Sciences, 2021 - mdpi.com
To address the issue of a large calculation and difficult optimization for the traditional fault
detection of a wind turbine-based pitch control system, a fault detection model, based on …

Bearing Fault Diagnosis in the Mixed Domain Based on Crossover‐Mutation Chaotic Particle Swarm

T Xu, J Ji, X Kong, F Zou, W Wang - Complexity, 2021 - Wiley Online Library
The classification frameworks for fault diagnosis of rolling element bearings in rotating
machinery are mostly based on analysis in a single time‐frequency domain, where sensitive …