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。Dynamic health index extraction for incipient bearing degradation detection
Xinlai Ye et al.
ISA TRANSACTIONS (2022)
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
Haoxuan Zhou et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy
Khandaker Noman et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)
Multiscale Symbolic Lempel-Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems
Yongbo Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
Anil Kumar et al.
MEASUREMENT (2021)
RUL Prediction of Rolling Bearings Based on a DCAE and CNN
Chenyang Wang et al.
APPLIED SCIENCES-BASEL (2021)
Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery
Xianzhi Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Biao Wang et al.
IEEE TRANSACTIONS ON RELIABILITY (2020)
A scale independent flexible bearing health monitoring index based on time frequency manifold energy & entropy
Khandaker Noman et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2020)
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
Li Yongbo et al.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2019)
Quantitative trend fault diagnosis of a rolling bearing based on Sparsogram and Lempel-Ziv
Lingli Cui et al.
MEASUREMENT (2018)
Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals
Dong Wang
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review
Yongbo Li et al.
IEEE ACCESS (2018)
Direct Remaining Useful Life Estimation Based on Support Vector Regression
Racha Khelif et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
Yonghao Miao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis
Xiaoqiang Xu et al.
MEASUREMENT (2016)
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression
Abdenour Soualhi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
Health monitoring of cooling fan bearings based on wavelet filter
Wei He et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
Jaouher Ben Ali et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection
Ming Liang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2010)
Characterization of surface EMG signal based on fuzzy entropy
Weiting Chen et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2007)
Approximate Entropy as a diagnostic tool for machine health monitoring
Ruqiang Yan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
Multiscale entropy analysis of complex physiologic time series
M Costa et al.
PHYSICAL REVIEW LETTERS (2002)
Permutation entropy: A natural complexity measure for time series
C Bandt et al.
PHYSICAL REVIEW LETTERS (2002)
The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals
RB Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2001)