相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion
Hongfeng Tao et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2023)
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
Lucas C. Brito et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Data annotation and feature extraction in fault detection in a wind turbine hydraulic pitch system
Panagiotis Korkos et al.
RENEWABLE ENERGY (2022)
Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning
Yongchao Zhu et al.
RENEWABLE ENERGY (2022)
An abnormal wind turbine data cleaning algorithm based on color space conversion and image feature detection
Huan Long et al.
APPLIED ENERGY (2022)
Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
Peng Cheng et al.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2022)
Cardiac age detected by machine learning applied to the surface ECG of healthy subjects: Creation of a benchmark
Hein E. C. van der Wall et al.
JOURNAL OF ELECTROCARDIOLOGY (2022)
On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
Phong B. Dao
APPLIED ENERGY (2022)
Anomaly detection for wind turbine damaged due to lightning strike
Takuto Matsui et al.
ELECTRIC POWER SYSTEMS RESEARCH (2022)
DeepFedWT: A federated deep learning framework for fault detection of wind turbines
Guoqian Jiang et al.
MEASUREMENT (2022)
A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification
Anqi Wang et al.
APPLIED ENERGY (2022)
Robust point-to-point iterative learning control for constrained systems: A minimum energy approach
Chenhui Zhou et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
Mingliang Bai et al.
APPLIED ENERGY (2021)
Fault diagnosis based on extremely randomized trees in wireless sensor networks
Umer Saeed et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Alternative fault detection and diagnostic using information theory quantifiers based on vibration time-waveforms from condition monitoring systems: Application to operational wind turbines
Gustavo de Novaes Pires Leite et al.
RENEWABLE ENERGY (2021)
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Omar Alghushairy et al.
BIG DATA AND COGNITIVE COMPUTING (2021)
Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method
Zepeng Liu et al.
RENEWABLE ENERGY (2020)
A review of non-destructive testing on wind turbines blades
Fausto Pedro Garcia Marquez et al.
RENEWABLE ENERGY (2020)
Wind Fleet Generator Fault Detection via SCADA Alarms and Autoencoders
Mattia Beretta et al.
APPLIED SCIENCES-BASEL (2020)
Wind Turbine Fault Diagnosis and Predictive Maintenance Through Statistical Process Control and Machine Learning
Jyh-Yih Hsu et al.
IEEE ACCESS (2020)
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines
M. M. Manjurul Islam et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance
Alexandros Bousdekis et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2018)
Wind turbine reliability: A comprehensive review towards effective condition monitoring development
Estefania Artigao et al.
APPLIED ENERGY (2018)
Prognostic techniques applied to maintenance of wind turbines: a concise and specific review
Gustavo de Novaes Pires Leite et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations
James Carroll et al.
WIND ENERGY (2017)
A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing
Wahyu Caesarendra et al.
MACHINES (2017)
Identification of critical components of wind turbines using FTA over the time
Fausto Pedro Garcia Marquez et al.
RENEWABLE ENERGY (2016)
Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform
Wangpeng He et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions
Zhipeng Feng et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Principal component analysis
Rasmus Bro et al.
ANALYTICAL METHODS (2014)
Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges
Pierre Tchakoua et al.
ENERGIES (2014)
Isolation-Based Anomaly Detection
Fei Tony Liu et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2012)
Rolling element bearing diagnostics-A tutorial
Robert B. Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Minimum covariance determinant
Mia Hubert et al.
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2010)
LOW-COMPLEXITY PRINCIPAL COMPONENT ANALYSIS FOR HYPERSPECTRAL IMAGE COMPRESSION
Qian Du et al.
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS (2008)
Use of K-Nearest Neighbor classifier for intrusion detection
YH Liao et al.
COMPUTERS & SECURITY (2002)