yusuke1997/dblp-id-title huggingface dataset:
A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics
An improved CNN based on attention mechanism with multi-domain feature fusion for bearing fault diagnosis
Research on monitoring alarm and localization of weights loading on composite materials
Advanced packaging for wireless sensor nodes in cyber-physical systems - impacts of multifunctionality and miniaturization on the environment
Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach
Generative Adversarial Network for State of Health Estimation of Lithium-ion Batteries
Automated detection of textured-surface defects using UNet-based semantic segmentation network
The research on characteristics of DC arc fault based on HHT
Uncertainty quantification in prognostics: A data driven polynomial chaos approach
An improved fault diagnosis approach based on support vector machine
A New Non-parametric Process Capability Index
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms
Research on CBM information system architecture based on multi-dimensional operation and maintenance data
Enhancing System-Level Prognostics with Structural Information: A Graph-Based Approach
A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter
Electro hydraulic servovalve health monitoring using fading extended Kalman filter
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection
Using Digital Twins for CBM+ and RAMS Decision Support
Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel
Prognostics and Health Management of Wafer Chemical-Mechanical Polishing System using Autoencoder
Study on the structure design of solar powerd UAV
Load sharing analysis of compound planetary gear set with cracked sun gear
Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study
Cost-wise readiness enabled through data driven fleet management (DDFM): Measuring PHM system benefits through post implementation assessment
Fault Diagnosis of Lubrication System in Internal Combustion Engine
A Study on Distributed Learning for Attack Detection in Wireless Sensor Networks
Prognostics health management of condition-based maintenance for aircraft engine systems
3D objects descriptors method for fault detection in a multi sensors context
Lead-acid battery maintenance using multilayer perceptron models
Research on Visual Detection Methods and Development Trends of Surface Defects of Urban Tunnels
RLCP: A Reinforcement Learning Method for Health Stage Division Using Change Points
Angular measurement with a gear wheel as a material measure - Extension as absolute sensor
Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes
Fault Diagnosis for Distributed Cooperative System Using Inductive Logic Programming
Long Short-Term Memory Network for Remaining Useful Life estimation
PHM based predictive maintenance optimization for offshore wind farms
Health index and behaviour based vehicle level reasoning system
A Review of Internet of Things (IoT) based Engineering Applications and Data Fusion Challenges for Multi-rate Multi-sensor Systems
Damage detection using time-frequency decay-rate based features
Imbalanced fault diagnosis of planetary gearboxes based on noise enhancement and threshold adaptive Siamese decoupled network
Friction Modeling and Monitoring for Machine Tool Health Management
Dynamic Maintenance of Continuously Monitored Parallel Systems
Generating Mathematical Model of Equipment and Its Applications in PHM
A Monte-Carlo approach for prognostics of clogging process in HVAC filters using a hybrid strategy a real case study in railway systems
A support tensor machine-based fault diagnosis method for railway turnout
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities
Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction
Dynamic Modeling and Fault Feature Analysis of Pitted Gear System
Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems
An improved exponential model for predicting the remaining useful life of lithium-ion batteries
An Integration of Spectrum Analysis and Attention-based Network for Condition Monitoring of Vibration Components
Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine
A maintenance mode decision method for traction power supply system of high-speed railway
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks
An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks
Micromechanics modeling of skin panel with pitting corrosion for aircraft structural health monitoring
Uncertainty analysis of phased mission systems with probabilistic timed automata
Mutually Complementary: Physics-informed GAN based on Simulated Model for Fault Diagnosis
Performance evaluation of accelerated corrosion techniques using electrochemical measurements and acoustic emission parameters
Research on Feature Extraction Method for Fault Diagnosis of Rolling Bearings Based on Wavelet Packet Decomposition
Misfire Detection on Internal Combustion Engine Based on Fluctuation of Exhaust Gas Temperature
Data-Informed Lifetime Reliability Prediction for Offshore Wind Farms
Model identification of lithium-ion batteries in the portable power system
A Measurement Frequency Estimation Method for Failure Prognosis of an Automated Tire Condition Monitoring System
Automated Lubrication Systems Prognostics Using Long - Term Recurrent Convolutional Networks
A Bayesian Product Reliability Assessment Approach with Varying Sample Sizes
Quantifying expected gains from implementing a prognostics algorithm on systems with long logistics delay times
Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions
Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks
An FBG based smart clamp fabricated by 3D printing technology and its application to incipient clamp looseness detection
KNN-FSVM for Fault Detection in High-Speed Trains
Online thermal state estimation of high power lithium-ion battery
Improved Cervical Cancer Classification using Generative AI and Language Models
Lubrication Condition Monitoring and Evaluation of Rolling Bearing Based on Acoustic Emission
Recurrent Neural Networks for real-time distributed collaborative prognostics
Quantizing the Health State of Railway Axle Bearing via Signal-to-noise ratio defined by EEMD and SVD
Semi-supervised domain adaptation with auxiliary task learning for RUL prediction
SDBOSR: Separable Decision Boundary based Open Set Recognition for Manufacturing Equipment Fault Classification
Parametric sensitivity analysis of a PEMFC physics-based model developed for prognostics
IEEE International Conference on Prognostics and Health Management, ICPHM 2020, Detroit, MI, USA, June 8-10, 2020
Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics
NDE 4.0: Smart NDE
Peak criterion for choosing Gaussian kernel bandwidth in Support Vector Data Description
Novelty detection of rotating machinery using a non-parametric machine learning approach
IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Ottawa, ON, Canada, June 20-22, 2016
Fault-tolerant Consensus Control for Hybrid Multi-agent Systems
Wear process lifetime prediction based on parametric model applied to experimental data
An ensemble of convolution-based methods for fault detection using vibration signals
Road-Deterioration Detection using Road Vibration Data with Machine-Learning Approach
Fault feature analysis of civil aircraft control surface damage
Physics-based Model and Neural Network Model for Monitoring Starter Degradation of APU
Integrated model-based control and health management for industrial gas turbines
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines
Time series modeling of vibration signals from a gearbox under varying speed and load condition
Vibration feature extraction using local temporal self-similarity for rolling bearing fault diagnosis
Electronic Circuit Diagnosis with No Data
Data-Driven Model Selection Study for Long-Term Performance Deterioration of Gas Turbines
2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018, Seattle, WA, USA, June 11-13, 2018
A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications
Research of Digital Twin-based Monitoring and Simulation System of Port Portal Cranes for PHM
Gradient harmonized loss: Improving the performance of intelligent diagnosis models in large imbalance scenarios
Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study
Probability of corrosion failure analysis using an adaptive sampling approach
Fault prognostic and prediction based on the importance degree of test point
Model-based fault diagnosis and prognosis for Electric Power Steering systems
Accurate Material Characterization of Wideband RF Signals via Registration-based Curve Fitting Model using Microstrip Transmission Line
FPGA implementation of Bayesian network inference for an embedded diagnosis
Simultaneous Actuator and Sensor Faults Estimation for Aircraft Using a Jump-Markov Regularized Particle Filter
Estimating remaining useful life for lithium-ion batteries using kalman filter banks
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
Statistical Process Control Applied to Monitoring of Cable Networks
Aviation PHM system research framework based on PHM big data center
Optimal Operation of Energy Storage Units in PV and Wind Integrated Smart Distribution Systems
A Framework for Generating Large Data Sets for Fatigue Damage Prognostic Problems
Bearing Fault Diagnosis Under Variable Speed Based on Iterative TF Curve Extraction and Demodulation
A comparative study of Data-driven Prognostic Approaches: Stochastic and Statistical Models
Tool Remaining Useful Life Prediction based on Edge Data Processing and LSTM Recurrent Neural Network
Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date Set
A simulation-based health monitoring system test-bed for an electrical power distribution system
Research on the Propagation of Defects in Assembly Process Based on SIR Epidemic Model
Essentials to Develop Data-Driven Predictive Models of Prognostics and Health Management for Distributed Electrical Systems
Reliability Analysis of Modular System in MUSER Based on Goal Oriented Methodology: Case Study on LOFARARTS
Calculating the Contact Forces at Imperfect Surfaces Considering Elastohydrodynamic Lubrication Effects in Rolling Element Bearings
Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization
Prognostication of remaining useful-life for flexible batteries in foldable wearable electronics
Fault Detection and Classification of Time Series Using Localized Matrix Profiles
A Dynamic Programming Approach for Multistage Reliability Growth Planning Considering Time and New Contents Allocation
Hierarchical Classification for Unknown Faults
A Neural Turing Machine-based approach to Remaining Useful Life Estimation
A modified Mahalanobis-Taguchi System analysis for monitoring of ball screw health assessment
Transfer learning and ensemble learning for fault diagnosis using vibration signals
Unsupervised Fault Detection in Varying Operating Conditions
An optimal multi-degree open-circuit faults diagnostic algorithm for photovoltaic system
An Integrated Method for Estimation with Superimposed Failure Data
Leveraging Big Data to Discover High Yield Prognostics Applications
Identification of a roller screw for diagnosis of flight control actuator
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics
Fault prediction of rocket ejection seat based on performance degradation
Research on electric vehicle (EV) driving range prediction method based on PSO-LSSVM
Multi-work Condition Modeling and Performance Analysis of Linear Oscillating Actuators
A Data-Based Approach for Sensor Fault Detection and Diagnosis of Electro-Pneumatic Brake
A Multiple VAEs-based Information Fusion Framework With Mutual-KL Loss for Intelligent Fault Diagnosis and Toward OoD Detection
Alternating Current Field Measurement Method for Rail Crack Detection using TMR Sensing Array
Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder
Modeling of corrosion pit growth for prognostics and health management
Automated Dynamic Safety Evaluation of Generic Fail-Operational Mechatronic Systems
2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, San Francisco, CA, USA, June 17-20, 2019
Differentiation of Journal Bearing Friction States under varying Oil Viscosities based on Acoustic Emission Signals
A technological demonstrator for the application of PHM techniques to electro-mechanical flight control actuators
Similarity-based residual useful life prediction for partially unknown cycle varying degradation
Unpowered Wireless Ultrasound Generation and Sensing for Structural Health Monitoring of Composites
Remaining useful life estimation for systems subject to multiple degradation mechanisms
Degradation modelling with operating mode changes
Combining Approaches of Brownian Motion and Similarity Principle to Improve the Remaining Useful Life Prediction
A fault diagnosis method of engine rotor based on Random Forests
A Distributed Fault Detection and Estimation for Formation of Clusters of Small Satellites
Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types
Research on online detection and location of multi-conductor cables' faults
Multi-view contextual performance profiling in rotating machinery
Simulation of ultrasonic testing for resolution of corrosion detection in pipes
GE Aviation Use-case - Apache Spark for Analytics
On the Number of Bounded Renewals in Two-Unit Systems with Critical Components
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network
Predicting Surface Roughness and Flank Wear in Turning Processes
Exploration and Effect Analysis of Improvement in Convolution Neural Network for Bearing Fault Diagnosis
Enhancement of prognostic models for short-term degradation of gas turbines
Performance-based prognosis scheme for industrial gas turbines
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems
Diagnosing Strong-fault Models with a Two-step A* Search Method
Helicopter main gearbox bearing defect identification with acoustic emission techniques
Vibration-Based Rotor -Side-Converter Open-Switch-Fault Detection in DFIGs for Wind Turbines
Lithium-ion Battery Capacity Loss Predictions using Domain-Knowledge-Incorporated Capacity Loss Model through Bayesian Inference
Query based learning via conformal uncertainty for RUL prediction
Construction and Application of Failure Prediction and Health Management System for Bearing of Running Gear of Rolling Stock
Developing machine learning-based models to estimate time to failure for PHM
A Maintenance Cost Optimization Strategy Based on Prognostics and Health Monitoring Information
Dynamics Performance Evaluation and Alarm Method of High-speed Train in Service
Identification and Analysis of Tool Wear Signal in CNC Machine Tool Based on Chaos Method
A dual-level approach for lithium-ion battery RUL prognosis
Fault sound simulations from normal sounds for data-driven prognosis based on human expert and vibration knowledge
Poincaré Features for Estimation of Remaining Useful Life in Roller Bearings
Research of K-MEANS analysis model on high-speed railway CIR device maintenance
Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation
Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
Condition Monitoring Model of a Hydraulic System in Truck Crane
Health-aware hierarchical control for smart manufacturing using reinforcement learning
Frequency analysis on vibration signatures for gearbox spalling defect detection
An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks
Data-driven Prognosis of Fatigue-induced Delamination in Composites using Optical and Acoustic NDE methods
A Hybrid Deep Learning Based Approach for Remaining Useful Life Estimation
A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories
PANDA - Discovering Part Name in Noisy Text Data
An Aging-Aware SOC Estimation Method for Lithium-Ion Batteries using XGBoost Algorithm
GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings
Forecasting the health of gas turbine components through an integrated performance-based approach
Hybrid Cloud Based Cyber-enabled Ship Control and Management System
A Model-Based Method for Fault Detection and Isolation of Electric Drive Systems
Enhancing Cervical Cancer Classification Through Augmented and Synthetic Data in Machine Learning
Adaptive Remaining Useful Life Prediction Algorithm for Bearings
On-line reliability assessment for an electronic system subject to condition monitoring
Gradient feature-based method for Defect Detection of Carbon Fiber Reinforced Polymer Materials
Using Monte Carlo Simulation with BAT and OCBA for the Binary-state Network Reliability Problem
An Adaptive Fault Diagnosis System Framework for Aircraft Based on Man-in-loop
Prognostics by classifying degradation stage on Lambda architecture
Industry 4.0 Technologies for an Observer-Based Gearbox Fault Detection Architecture
A Study of Liquid Networks for Wireless Communications
2D Characterization Based on MSGMD And Its Application in Gearbox Fault Diagnosis
Operating state evaluation of smart electricity meter based on data fusion method
AE entropy for detection of fatigue crack initiation and growth
Second Life Prognostic for Li-Ion Battery: Cases of Missing Data with Polynomial Chaos and Time VAE
Bearing defect signature analysis based on a SAX-based association rule mining
Fault State Prediction Model of Repaired Equipment Considering Maintenance Effect
Data-Driven PHM with BDPS Tool Suite: Battery Data Acquisition for Degradation Modeling
Spatio-Temporal Reinforcement Learning for Aero-Engine Remaining Useful Life Prediction
Data-driven Health Monitoring and Anomaly Detection in Aircraft Shock Absorbers
Tracking gearbox degradation based on stable distribution parameters: A case study
SOH estimation for lithium-ion batteries: A cointegration and error correction approach
Hybrid Architecture for Spacecraft Diagnosis and its Application
High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis
Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring Data
Diagnosis Method for Hydro-generator Rotor Fault Based on Stochastic Resonance
Fault Mitigation for Autonomous Vehicles with Reduced Front Steering Capability
Milling tool wear monitoring through time-frequency analysis of sensory signals
Low dimensional synthetic data generation for improving data driven prognostic models
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge
A metaheuristic approach to remaining useful life estimation of systems subject to multiple degradation mechanisms
Remaining Useful Life Prediction under Multiple Operation Conditions Based on Domain Adaptive Sparse Auto-Encoder
Equipment Sub-system Extraction and its Application in Predictive Maintenance
Advanced correlation-based anomaly detection method for predictive maintenance
Fatigue damage prognosis in adhesive bonded composite lap-joints using guided waves
Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator
Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applications
Life prognostics of braking system using bond graph modeling
An effective age-based preventive replacement model
Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM)
Predicting the lifetimes of LiFePO4 batteries on the basis of the gamma process through accelerated degradation measurements
Application of Deep CNN-LSTM Network to Gear Fault Diagnostics
2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017, Dallas, TX, USA, June 19-21, 2017
Remaining Useful Life Prediction of Aircraft Engines Using Hybrid Model Based on Artificial Intelligence Techniques
Intermittent fault diagnosis of industrial systems in a model-checking framework
Reliability-based Usage Strategy Optimization for Lifetime Maximization of Solid-state Lasers
Remaining useful life estimation of lithium-ion battery using exemplar-based conditional particle filter
Learning Deep Representation for Blades Icing Fault Detection of Wind Turbines
Dynamic Modeling and Impact Response Analysis of Multi-Unit Urban Rail Vehicle Post-Derailment
Elastic Net Representation-based Projections for Bearing Fault Classification
A Comprehensive Approach to Gear Fault Classification Leveraging Vibration Data and Neural Networks
A Resonance-Based Inductive-Capacitive Dual Modality Sensing Method for Detecting CFRP Composites
Data-driven estimation of blade icing risk in wind turbines
Surface acoustic wave vibration sensors for measuring aircraft flutter
Quantifying the Impact of Prognostic Distance on Average Cost per Cycle
A Comprehensive Approach for Gearbox Fault Detection and Diagnosis Using Sequential Neural Networks
A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things
Convolutional Neural Networks for Gas Turbine Exhaust Gas Temperature and Power Predictions
Study on the Method of Determining Accident Probability Based on Failure for Missile System
Lithium-ion batteries life prediction method basedon degenerative characters and improved particle filter
Life prediction of battery based on random forest optimized by genetic algorithm
Remaining Useful Life Estimation Using Functional Data Analysis
Visibility Graphs, Persistent Homology, and Rolling Element Bearing Fault Detection
Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes
Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric Learning
A cloud based framework of prognostics and health management for manufacturing industry
Development of proactive risk-based inspection and management technology for the wind turbine system
Age Feature Enhanced Neural Network for RUL Estimation of Power Electronic Devices
An improved fusion prognostics method for remaining useful life prediction of bearings
Battery prognostics using a self-cognizant dynamic system approach
A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification
Multi-objective Artificial Bee Colony in Mode Separation of Guided Waves for Scatting Coefficient Matrix Reconstruction
Visualization method for spectrum analysis of vibration acceleration signals
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction
Intelligent fault diagnosis of bearings based on feature model and Alexnet neural network