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。CONDITION MONITORING OF RAILWAY TRACK SYSTEMS BY USING ACCELERATION SIGNALS ON WHEELSET AXLE-BOXES
Andrzej Chudzikiewicz et al.
TRANSPORT (2018)
CONDITION MONITORING OF RAILWAY TRACK SYSTEMS BY USING ACCELERATION SIGNALS ON WHEELSET AXLE-BOXES
Andrzej Chudzikiewicz et al.
TRANSPORT (2018)
An Intelligent Fault Diagnosis Method for Bogie Bearings of Metro Vehicles Based on Weighted Improved D-S Evidence Theory
Jianqiang Liu et al.
ENERGIES (2018)
Adaptive Diagnosis for Rotating Machineries Using Information Geometrical Kernel-ELM Based on VMD-SVD
Zhipeng Wang et al.
ENTROPY (2018)
EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State
Alejandro Bustos et al.
SENSORS (2018)
Stationary Wavelet Singular Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis
Nibaldo Rodriguez et al.
ENTROPY (2017)
Bogie Fault Identification Based on EEMD Information Entropy and Manifold Learning
Na Qin et al.
IFAC PAPERSONLINE (2017)
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
Yanxue Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Maintenance of bogie components through vibration inspection with intelligent wireless sensors: A case study on axle-boxes and wheel-sets using the empirical mode decomposition technique
Alexandre Trilla et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT (2016)
Trends in extreme learning machines: A review
Gao Huang et al.
NEURAL NETWORKS (2015)
Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution
Feng Jia et al.
SENSORS (2015)
Faults Diagnostics of Railway Axle Bearings Based on IMF's Confidence Index Algorithm for Ensemble EMD
Cai Yi et al.
SENSORS (2015)
Extreme learning machine: algorithm, theory and applications
Shifei Ding et al.
ARTIFICIAL INTELLIGENCE REVIEW (2015)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
An enhanced Kurtogram method for fault diagnosis of rolling element bearings
Dong Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Weighted extreme learning machine for imbalance learning
Weiwei Zong et al.
NEUROCOMPUTING (2013)
High Speed Train Bogie Fault Signal Analysis Based on Wavelet Entropy Feature
Na Qin et al.
MATERIALS PROCESSING AND MANUFACTURING III, PTS 1-4 (2013)
Self-Adaptive Evolutionary Extreme Learning Machine
Jiuwen Cao et al.
NEURAL PROCESSING LETTERS (2012)
A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram
Tomasz Barszcz et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
A. K. Qin et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
Tomasz Barszcz et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2009)
Fast computation of the kurtogram for the detection of transient faults
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)