Yaguo Lei
#146,339
Most Influential Person Now
Yaguo Lei's AcademicInfluence.com Rankings
Yaguo Leiengineering Degrees
Engineering
#5717
World Rank
#6985
Historical Rank
Mechanical Engineering
#529
World Rank
#577
Historical Rank
Applied Physics
#1715
World Rank
#1747
Historical Rank
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Engineering
Yaguo Lei's Degrees
- PhD Mechanical Engineering University of Science and Technology Beijing
- Masters Mechanical Engineering University of Science and Technology Beijing
- Bachelors Mechanical Engineering University of Science and Technology Beijing
Why Is Yaguo Lei Influential?
(Suggest an Edit or Addition)Yaguo Lei's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A review on empirical mode decomposition in fault diagnosis of rotating machinery (2013) (1392)
- Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data (2016) (1259)
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2018) (1095)
- Applications of machine learning to machine fault diagnosis: A review and roadmap (2020) (881)
- An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data (2016) (811)
- A recurrent neural network based health indicator for remaining useful life prediction of bearings (2017) (704)
- Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data (2019) (561)
- Condition monitoring and fault diagnosis of planetary gearboxes: A review (2014) (522)
- A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings (2020) (506)
- Application of the EEMD method to rotor fault diagnosis of rotating machinery (2009) (470)
- An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings (2019) (415)
- Application of an improved kurtogram method for fault diagnosis of rolling element bearings (2011) (395)
- Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs (2007) (395)
- A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines (2018) (378)
- A new approach to intelligent fault diagnosis of rotating machinery (2008) (361)
- Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization (2018) (351)
- An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings (2015) (343)
- Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods (2018) (318)
- A Model-Based Method for Remaining Useful Life Prediction of Machinery (2016) (304)
- EEMD method and WNN for fault diagnosis of locomotive roller bearings (2011) (266)
- Planetary gearbox fault diagnosis using an adaptive stochastic resonance method (2013) (257)
- Application of an intelligent classification method to mechanical fault diagnosis (2009) (247)
- Gear crack level identification based on weighted K nearest neighbor classification algorithm (2009) (242)
- New clustering algorithm-based fault diagnosis using compensation distance evaluation technique (2008) (231)
- A multidimensional hybrid intelligent method for gear fault diagnosis (2010) (210)
- Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform (2013) (206)
- Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings (2017) (204)
- An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis (2017) (173)
- Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs (2009) (163)
- Machinery health indicator construction based on convolutional neural networks considering trend burr (2018) (158)
- Applications of stochastic resonance to machinery fault detection: A review and tutorial (2019) (157)
- Deep separable convolutional network for remaining useful life prediction of machinery (2019) (156)
- Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery (2016) (155)
- A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction (2016) (146)
- A Deep Learning-based Method for Machinery Health Monitoring with Big Data (2015) (132)
- A tacho-less order tracking technique for large speed variations (2013) (127)
- Fault detection of planetary gearboxes using new diagnostic parameters (2012) (124)
- Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds (2013) (121)
- Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis (2016) (115)
- An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings (2017) (114)
- Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery (2020) (113)
- A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability (2019) (107)
- Time-Varying Meshing Stiffness Calculation and Vibration Analysis for a 16DOF Dynamic Model With Linear Crack Growth in a Pinion (2012) (99)
- A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes (2012) (86)
- Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution (86)
- A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines (2020) (84)
- Opportunities and Challenges of Machinery Intelligent Fault Diagnosis in Big Data Era (2018) (80)
- Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery (2020) (79)
- Design, modeling and experimental verification of circular Halbach electromagnetic energy harvesting from bearing motion (2019) (79)
- Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution (2015) (77)
- Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox (2018) (75)
- Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models (2017) (74)
- Health condition identification of multi-stage planetary gearboxes using a mRVM-based method (2015) (69)
- Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition (2013) (68)
- A probability distribution model of tooth pits for evaluating time-varying mesh stiffness of pitting gears (2018) (65)
- Phenomenological models of vibration signals for condition monitoring and fault diagnosis of epicyclic gearboxes (2016) (64)
- Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries. (2016) (64)
- An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring (2020) (63)
- A fault diagnosis method of rolling element bearings based on CEEMDAN (2017) (60)
- A data-driven multiplicative fault diagnosis approach for automation processes. (2014) (56)
- Two new features for condition monitoring and fault diagnosis of planetary gearboxes (2015) (55)
- Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram (2018) (51)
- Fault diagnosis of rotating machinery based on a new hybrid clustering algorithm (2008) (48)
- Adaptive multiwavelets via two-scale similarity transforms for rotating machinery fault diagnosis (2009) (47)
- Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model (2019) (46)
- Remaining useful life prediction based on a multi-sensor data fusion model (2021) (45)
- Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions (2021) (45)
- Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults (43)
- Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings (2008) (43)
- Degradation modeling and remaining useful life prediction for dependent competing failure processes (2021) (41)
- Research Advances of Fault Diagnosis Technique for Planetary Gearboxes (2011) (37)
- Periodicity-based kurtogram for random impulse resistance (2015) (36)
- A Combination of WKNN to Fault Diagnosis of Rolling Element Bearings (2009) (35)
- Deep Transfer Diagnosis Method for Machinery in Big Data Era (2019) (34)
- Fast-varying AM-FM components extraction based on an adaptive STFT (2012) (33)
- Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions (2020) (32)
- Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines (2021) (29)
- Vibration-based fault diagnosis of slurry pump impellers using neighbourhood rough set models (2010) (28)
- An enhanced stochastic resonance method for weak feature extraction from vibration signals in bearing fault detection (2014) (28)
- Remaining useful life prediction (2017) (28)
- A label description space embedded model for zero-shot intelligent diagnosis of mechanical compound faults (25)
- A particle filtering-based approach for remaining useful life predication of rolling element bearings (2014) (24)
- Deep convolution feature learning for health indicator construction of bearings (2017) (24)
- A self-data-driven method for remaining useful life prediction of wind turbines considering continuously varying speeds (2022) (21)
- Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-Shot Fault Diagnosis of Machines (2021) (19)
- Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data (2021) (19)
- Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks (2023) (19)
- Waveform design for high-resolution damage detection using lamb waves [Correspondence] (2013) (17)
- Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems (2021) (16)
- Biphase randomization wavelet bicoherence for mechanical fault diagnosis (2014) (16)
- A Transfer Learning Method for Intelligent Fault Diagnosis from Laboratory Machines to Real-Case Machines (2018) (16)
- A phenomenological model for investigating unequal planet load sharing in epicyclic gearboxes (2020) (16)
- A LOF-Based Method for Abnormal Segment Detection in Machinery Condition Monitoring (2018) (15)
- Structural Dynamical Monitoring and Fault Diagnosis (2015) (14)
- Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions (2017) (13)
- Wayside acoustic detection of train bearings based on an enhanced spline-kernelled chirplet transform (2020) (13)
- Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective (2022) (13)
- New Adaptive Stochastic Resonance Method and Its Application to Fault Diagnosis (2012) (13)
- Fault Diagnosis of Rotating Machinery Based on Empirical Mode Decomposition (2017) (12)
- An improved fusion prognostics method for remaining useful life prediction of bearings (2017) (12)
- Ice Detection Method by Using SCADA Data on Wind Turbine Blades (2018) (12)
- Individual intelligent method-based fault diagnosis (2017) (11)
- A nonlinear degradation model based method for remaining useful life prediction of rolling element bearings (2015) (11)
- An Improved Genetic Algorithm and Its Application in Artificial Neural Network Training (2005) (11)
- A New Dynamic Model of Planetary Gear Sets and Research on Fault Response Characteristics (2016) (10)
- Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data (2021) (10)
- A Relevance Vector Machine Prediction Method Based on Adaptive Multi-kernel Combination and Its Application to Remaining Useful Life Prediction of Machinery (2016) (10)
- A new model for calculating time-varying gearmesh stiffness (2017) (8)
- A KPI-related multiplicative fault diagnosis scheme for industrial processes (2013) (7)
- Intelligent Fault Diagnosis in Power Plant Using Empirical Mode Decomposition, Fuzzy Feature Extraction and Support Vector Machines (2005) (7)
- 1 – Introduction and background (2017) (7)
- A Hybrid Transfer Learning Method for Fault Diagnosis of Machinery under Variable Operating Conditions (2019) (6)
- Accurate identification of Parkinson's disease by distinctive features and ensemble decision trees (2021) (6)
- An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines (2021) (6)
- Flexible time domain averaging technique (2013) (6)
- Enhanced variable reluctance energy harvesting for self-powered monitoring (2022) (5)
- Intelligent fault diagnosis of rotating machinery using locally connected restricted boltzmann machine in big data era (2017) (5)
- A method of automatic feature extraction from massive vibration signals of machines (2016) (5)
- Online joint replacement-order optimization driven by a nonlinear ensemble remaining useful life prediction method (2022) (5)
- RUL prediction of machinery using convolutional-vector fusion network through multi-feature dynamic weighting (2023) (5)
- Reconstruction independent component analysis-based methods for intelligent fault diagnosis (2016) (5)
- A Distance Metric Learning Based Health Indicator for Health Prognostics of Bearings (2017) (5)
- The Hybrid Intelligent Method Based on Fuzzy Inference System and Its Application to Fault Diagnosis (2012) (4)
- Weak signal detection based on underdamped multistable stochastic resonance (2017) (4)
- Identification of magnetomechanical phenomena in a degradation process of loaded steel elements (2018) (4)
- Vibration indicator-based graph convolutional network for semi-supervised bearing fault diagnosis (2021) (4)
- Clustering algorithm–based fault diagnosis (2017) (4)
- Rotating Machinery Fault Detection Based on Improved Ensemble Empirical mode Decomposition (2014) (4)
- Residual Convolution LSTM Network for Machines Remaining Useful Life Prediction and Uncertainty Quantification (2021) (3)
- A review for control theory and condition monitoring on construction robots (2023) (3)
- Remaining Useful Life Prediction Based on Deep Residual Attention Network (2019) (3)
- Vibration-Based Fault Diagnosis of Slurry Pumps Using the Neighborhood Rough Set Model (2009) (2)
- A dirty data recognition method for machinery condition monitoring in big data era (2017) (2)
- Optimal Hilbert transform parameter identification of bistable structures (2022) (2)
- Special feature on rotating machinery condition monitoring by connecting physics-based and data-driven methods (2021) (2)
- Signal processing and feature extraction (2017) (2)
- Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems (2023) (1)
- Halbach high negative stiffness isolator: Modeling and experiments (2023) (1)
- Machine remaining useful life prediction considering unit-to-unit variability (2017) (1)
- Remaining Useful Life Prediction of Lubricating Oil With Small Samples (2023) (1)
- Knowledge and data dual-driven transfer network for industrial robot fault diagnosis (1)
- Deflection estimation of industrial robots with flexible joints (2021) (1)
- Fault Detection of Planetary Gearboxes Based on an Adaptive Ensemble Empirical Mode Decomposition (2015) (1)
- An Adaptable Cost-sensitive Imbalanced Fault Diagnosis Method Considering Sample-significance Information (2020) (0)
- A Hybrid Intelligent Method for Rolling Bearing Fault Diagnosis Integrated with Expert Knowledge and Deep Learning (2022) (0)
- Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process (2018) (0)
- A new nonparametric degradation modeling method for truncated degradation signals by axis rotation (2023) (0)
- Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines (2023) (0)
- Flexible time domain averaging technique (2013) (0)
- Intelligent Machinery Fault Diagnosis With Event-Based Camera (2023) (0)
- A new FPCA-based remaining useful life prediction method for truncated degradation signals (2022) (0)
- A Study on Torsional Stiffness of RV Reducer Considering Variable Loads and Tooth Modification (2021) (0)
- Fault Diagnosis of Rolling Element Bearing using Quadratic Nonlinearity Features (23) (2014) (0)
- Remaining Useful Life Prediction Based on Multi-channel Attention Bidirectional Long Short-term Memory Network (2021) (0)
- Rotating Machinery Fault Detection Using EEMD and Bispectrum (2009) (0)
- Joint optimization of maintenance and spare parts inventory for multi-unit systems with a generalized structure (2022) (0)
- A Diagnosis Method of Cleanliness Defect in Rolling Element Bearing Manufacturing (2022) (0)
- Prognostics and Remaining Useful Life Prediction of Machinery: Advances, Opportunities and Challenges (2023) (0)
- Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery (2022) (0)
- Machinery Health Prognostics with Multi-model Fusion Degradation Modeling (2022) (0)
- Improved subspace modal identification of industrial robots (2023) (0)
- A new method for calculating time‐varying torsional stiffness of RV reducers with variable loads and tooth modifications (2023) (0)
- Hybrid intelligent fault diagnosis methods (2017) (0)
- Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data (2023) (0)
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What Schools Are Affiliated With Yaguo Lei?
Yaguo Lei is affiliated with the following schools:
