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。Rotating Machinery Fault Diagnosis Based on Typical Resonance Demodulation Methods: A Review
Hua Li et al.
IEEE SENSORS JOURNAL (2023)
A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring
Qiuyang Zhou et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023)
A Reinforced Noise Resistant Correlation Method for Bearing Condition Monitoring
Wei Fan et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023)
Difference mode decomposition for adaptive signal decomposition
Bingchang Hou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)
A review on the application of blind deconvolution in machinery fault diagnosis
Yonghao Miao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests
Huifang Li et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)
Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis
Bingchang Hou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)
Understanding importance of positive and negative signs of optimized weights used in the sum of weighted normalized Fourier spectrum/envelope spectrum for machine condition monitoring
Bingchang Hou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Proportional Selection Scheme: A Frequency Band Division Tool for Rolling Element Bearing Diagnostics
Xin Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)
OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis
Bingchang Hou et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)
Full Attention Wasserstein GAN With Gradient Normalization for Fault Diagnosis Under Imbalanced Data
Jigang Fan et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)
Interpretable Neural Network via Algorithm Unrolling for Mechanical Fault Diagnosis
Botao An et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)
Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network
Xin Wang et al.
MEASUREMENT (2021)
Recent Advancement of Deep Learning Applications to Machine Condition Monitoring Part 2: Supplement Views and a Case Study
Wenyi Wang et al.
ACOUSTICS AUSTRALIA (2021)
Recent Advancement of Deep Learning Applications to Machine Condition Monitoring Part 1: A Critical Review
Wenyi Wang et al.
ACOUSTICS AUSTRALIA (2021)
A Critical Overview of the Filterbank-Feature-Decision Methodology in Machine Condition Monitoring
Jerome Antoni
ACOUSTICS AUSTRALIA (2021)
Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals
Yayu Peng et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Weighted Cyclic Harmonic-to-Noise Ratio for Rolling Element Bearing Fault Diagnosis
Zhenling Mo et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Biao Wang et al.
IEEE TRANSACTIONS ON RELIABILITY (2020)
Applications of machine learning to machine fault diagnosis: A review and roadmap
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis
Zheng Chai et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)
Research on sparsity indexes for fault diagnosis of rotating machinery
Yonghao Miao et al.
MEASUREMENT (2020)
The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring
Dong Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks
Zhuyun Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions
Alexandre Mauricio et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A statistical methodology for the design of condition indicators
Jerome Antoni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery
Xian-Bo Wang et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)
Blind deconvolution based on cyclostationarity maximization and its application to fault identification
Marco Buzzoni et al.
JOURNAL OF SOUND AND VIBRATION (2018)
Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification
Yonghao Miao et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2017)
Fast computation of the spectral correlation
Jerome Antoni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Liang Guo et al.
NEUROCOMPUTING (2017)
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
Yaguo Lei et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
A critical study of different dimensionality reduction methods for gear crack degradation assessment under different operating conditions
Xiang Wan et al.
MEASUREMENT (2016)
The infogram: Entropic evidence of the signature of repetitive transients
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection
Geoff L. McDonald et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)
Fast computation of the kurtogram for the detection of transient faults
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
H Qiu et al.
JOURNAL OF SOUND AND VIBRATION (2006)
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)