• Review
  • A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
  • Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
  • Intelligent Fault Diagnosis and Prognosis for Engineering Systems
  • Maintenance Changing Role in Life Cycle Management
  • Preventive maintenance (PM) planning a review
  • Applications of machine learning to machine fault diagnosis A review and roadmap
  • Artificial intelligence for fault diagnosis of rotating machinery A review
  • A survey on Deep Learning based bearing fault diagnosis
• Remaining_Useful_Life
  • A prognostic algorithm for machine performance assessment and its application
  • Remaining useful life estimation in prognostics using deep convolution neural networks
  • Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
  • Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
  • A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
  • Recurrent convolutional neural network A new framework for remaining useful life prediction of machinery
  • Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
  • Machine health prognostics using survival probability and support vector machine
  • Prognostic modelling of crack growth in a tensioned steel band
  • A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology
  • A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction
• Fault_Diagnosis
  • Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine
  • Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery
  • Fault diagnosis of single-phase induction motor based on acoustic signals
  • An adaptive deep transfer learning method for bearing fault diagnosis
  • Fault diagnosis of wind turbine based on Long Short-term memory networks
  • Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
  • A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
  • Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
  • Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
  • Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
  • Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
  • Long Short-Term Memory Network for Remaining Useful Life Estimation
  • Copula-based model for wind turbine power curveoutlier rejection
  • Using fuzzy logic for robust event detection in wireless sensor networks
  • Fault diagnosis based on Walsh transform and rough sets
  • Pipe system diagnosis and leak detection by unsteady-state tests. 1. Harmonic analysis
  • Pipe system diagnosis and leak detection by unsteady-state tests. 2. Wavelet analysis
  • On-line fan blade damage detection using neural networks
  • Fault diagnosis of electronic analog circuits using a radial basis function network classifier
  • Failure diagnosis using deep belief learning based health state classification
  • An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks
  • Bearing fault diagnosis method based on Hilbert envelope spectrum and deep belief network
  • Multi-layer neural network with deep belief network for gearbox fault diagnosis
  • Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
  • Rolling bearing fault diagnosis using an optimization deep belief network
  • The early-warning model of equipment chain in gas pipeline based on DNN-HMM
  • High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
  • Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion
  • Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
  • Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
  • Gearbox fault identification and classification with convolutional neural networks
  • Convolutional Neural Network Based Fault Detection for Rotating Machinery
  • Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis
  • Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
  • Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
  • Rotating machinery diagnostics using deep learning on orbit plot images
  • Automatic multi-fault recognition in TFDS based on convolutional neural network
  • Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive
  • Methodology of neural modeling in fault detection with the use of chaos engineering
  • Railway track circuit fault diagnosis using recurrent neural networks
  • An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
  • Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system
  • Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics
  • Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis
  • A New Fault Detection Method of Induction Motor
  • Detection of broken rotor bars in induction motors using nonlinear Kalman filters
  • HMMs for diagnostics and prognostics in machining processes
  • Hierarchical HMMs for autonomous diagnostics and prognostics
  • Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
  • Squirrel cage rotor faults detection in induction motor utilizing stator power spectrum approach
  • A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
  • Convolutional neural network in intelligent fault diagnosis toward rotatory machinery
  • Application of neural network algorithm in fault diagnosis of mechanical intelligence
  • Research and application of improved adaptive MOMEDA fault diagnosis method
  • Bayesian Networks in Fault Diagnosis
  • Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
  • Deep residual learning-based fault diagnosis method for rotating machinery
  • Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network
  • A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
  • Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis
  • Deep Convolutional Transfer Learning Network A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data
• Data_Cleaning
  • Cleaning Method for Big Data of Power Transmission and Transformation Equipment State Based on Time Sequence Analysis
• Data_Fusion
  • Multi-sensor data fusion in cluster based wireless sensor networks using fuzzy logic method
  • Data Fusion Algorithms in Cluster-based Wireless Sensor Networks sing Fuzzy Logic Theory
  • A multiple linear regression data predicting method using correlation analysis for wireless sensor networks
• Survey
  • An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
  • A Manufacturing Big Data Solution for Active Preventive Maintenance
• Health_Assessment
  • Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 625
  • A cutter tool monitoring in machining process using Hilbert–Huang transform
  • Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems
  • Research on health assessment based on hidden Markov model
  • Hidden semi-Markov model based methodology for multi-sensor equipment health diagnosis and prognosis
  • ViDX Visual Diagnostics of Assembly Line Performance in Smart Factories
  • Diagnostic tools for multivariable model-based control systems
• Preventive_Maintenance
  • A two-phase preventive maintenance policy considering imperfect repair and postponed replacement
  • Hybrid preventive maintenance of competing failures under random environment
  • Deep reinforcement learning based preventive maintenance policy for serial production lines
  • Developing the R-TOPSIS methodology for risk-based preventive maintenance planning A case study in rolling mill company
  • A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms
  • Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance
  • Periodic preventive maintenance planning for systems working under a Markovian operating condition
  • Integrated optimization on train scheduling and preventive maintenance time slots planning
  • Preventive maintenance versus cost of repairs in asset management An efficiency analysis in wastewater treatment plants
  • A cost-based integrated importance measure of system components for preventive maintenance
  • Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization
  • Integrated control policy of production and preventive maintenance for a deteriorating manufacturing system
  • A new model based on Artificial Bee Colony algorithm for preventive maintenance with replacement scheduling in continuous production lines
  • Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes
  • Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms
  • RoVi Continuous transport infrastructure monitoring framework for preventive maintenance
  • A new analytical method to optimise the preventive maintenance interval by using a semi-Markov process and z-transform with an application to marine diesel engines
  • Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration
  • Investigating reliability improvement of second-hand production equipment considering warranty and preventive maintenance strategies
  • Optimization of preventive maintenance for series manufacturing system by differential evolution algorithm
  • Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method
  • A trade-off between productivity and cost for the integrated part quality inspection and preventive maintenance planning under uncertainty
• Quality_Control
  • Identification of out of control quality characteristics in a multivariate manufacturing environment
  • Statistical process monitoring and disturbance diagnosis in multivariable continuous processes