Zuo, Ming J.

Publications, Activities, and Awards

• A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals
• A dependence-based feature vector and its application on planetary gearbox fault classification
• A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy
• A multi-state k-out-of-n:F balanced system with a rebalancing mechanism.
• A new strategy for rotating machinery fault diagnosis under varying speed conditions based on deep neural networks and order tracking
• A semi-supervised GAN method for RUL prediction using failure and suspension histories
• A speed normalized autoencoder for rotating machinery fault detection under varying speed conditions
• A transferable neural network method for remaining useful life prediction
• Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review with Examples
• Adversarial domain adaptation for gear crack level classification under variable load
• Aluminum structure crack length estimation and prediction
• Aluminum structure crack length estimation and prediction
• An enhanced morphology gradient product filter for bearing fault detection
• An improved singular value decomposition-based method for gear tooth crack detection and severity assessment
• Analysis of spur gearbox dynamics considering tooth lubrication and tooth crack severity progression
• Analysis of vibration signals and detection for multiple tooth cracks in spur gearboxes
• Bearing fault diagnosis based on flexible analytical wavelet transform and fuzzy entropy approach
• Best Oral Presentation Award
• Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration
• Copula-based time-frequency distribution analysis for planetary gearbox fault detection
• Decision-making Model for Corrective Maintenance of Offshore Wind Turbine Considering Uncertainties
• Development of crack induced impulse-based condition indicators for early tooth crack severity assessment
• Dynamic model of a planetary gearbox considering sun gear crack with effects of clearance for carrier, planet, and sun gear bearings
• Dynamic modeling of a planetary gear system with sun gear crack under gravity and carrier-ring clearance
• Dynamic modeling of a planetary gearbox with sun gear crack and bearing clearance
• Dynamic modeling of gearbox faults: A review
• Dynamic Simulation of Gearbox Operation for Prognosis and Health Management
• Dynamic Simulation of Gearbox Operation for Prognosis and Health Management
• Dynamic Simulation of Gearbox Operation for Prognosis and Health Management
• Dynamic Simulation of Gearbox Operation for Prognosis and Health Management
• Dynamics Based Vibration Signal Modeling for Tooth Fault Diagnosis of Planetary Gearboxes
• Early gear tooth crack detection based on singular value decomposition
• Effect of sliding friction on transient characteristics of a gear transmission under random loading
• Effects of friction and stochastic load on transient characteristics of a spur gear pair
• Efficient analytical method to obtain the responses of a gear model with stochastic load and stochastic friction
• Efficient analytical method to obtain the responses of a gear model with stochastic load and stochastic friction
• Fault-induced impulse evaluation for planetary gearbox tooth crack severity assessment under different loading conditions
• Health index development for a planetary gearbox
• Health index development of an engineering asset
• Impact of Prognostics and Health Management in Systems Reliability and Maintenance Planning, Special Issue of Reliability Engineering and System Safety
• Induction Motor Stator Current AM-FM Model and Demodulation Analysis for Planetary Gearbox Fault Diagnosis
• Investigation of Gear Dynamic Characteristics under Stochastic External Excitations
• Investigation of the relationship between gear crack levels and impulse parameters using dynamic modeling
• Joint condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency
• Machine Learning for PHM and Reliability
• Machine prognostics under varying operating conditions based on state-space and neural network modeling
• Machine-Learning for PHM and Reliability Assurance
• Machine-Learning Methods for PHM and Reliability
• Maintenance decision-making models for cost minimization of offshore wind farms
• Modelling factors affecting operation and maintenance costs of offshore wind farms
• Normalization of gearbox vibration signal for tooth crack diagnosis under variable speed conditions
• Normalization of gearbox vibration signal for tracking tooth crack severity progression under time-varying operating conditions
• Optimizing wind farm layout by addressing energy-variance trade-off: A single-objective optimization approach.
• Physics-Informed LSTM Hyperparameters Selection for Gearbox Fault Detection
• Planetary gearbox dynamic modeling considering bearing clearance and sun gear tooth crack
• Prognostics of rolling element bearings with the combination of Paris law and reliability method
• Reliability and Quality Management In Stochastic Systems
• Reliability, PHM, and Challenges
• Reliability, PHM, and Machine Learning
• Resilience Optimization of Power Grid under Extreme Weather Conditions
• Safety, Security, and Reliability of Autonomous Vehicles
• Scaling-basis chirplet transform
• Series: Lecture Notes in Mechanical Engineering
• Sparse time series modeling of the baseline vibration from a gearbox under time-varying speed condition
• Spectral negentropy based sidebands and demodulation analysis for planet bearing fault diagnosis
• Speed adaptive gates: Improving fault classification accuracy of deep learning models for rotating machinery under varying speed conditions
• Structure fatigue crack length estimation and prediction using ultrasonic wave data based on ensemble linear regression and Paris’s law
• The effect of time-varying operating condition on the crack induced impulses and its application to gearbox tooth crack diagnosis
• Three new models for evaluation of standard involute spur gear mesh stiffness
• Time series modeling of vibration signals from a gearbox under varying speed and load condition
• Tooth crack severity assessment in the early stage of crack propagation using gearbox dynamic model
• Virtual Rotating Speed Meter: Extracting Machinery Rotating Speed from Vibration Signals Based on Deep Learning and Transfer Learning
• Virtual rotating speed meter: Extracting machinery rotating speed from vibration signals based on deep learning and transfer learning
• Weighted domain adaptation networks for machinery fault diagnosis
• Wind turbine power output estimation with probabilistic power curves