2021
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 Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization2020
Application of neural network algorithm in fault diagnosis of mechanical intelligence Convolutional neural network in intelligent fault diagnosis toward rotatory machinery Applications of machine learning to machine fault diagnosis A review and roadmap Optimization of preventive maintenance for series manufacturing system by differential evolution algorithm Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes Preventive maintenance versus cost of repairs in asset management An efficiency analysis in wastewater treatment plants Periodic preventive maintenance planning for systems working under a Markovian operating condition Deep reinforcement learning based preventive maintenance policy for serial production lines Recurrent convolutional neural network A new framework for remaining useful life prediction of machinery A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings Deep learning fault diagnosis method based on global optimization GAN for unbalanced data An adaptive deep transfer learning method for bearing fault diagnosis2019
Fault diagnosis of wind turbine based on Long Short-term memory networks A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network Deep residual learning-based fault diagnosis method for rotating machinery A survey on Deep Learning based bearing fault diagnosis Research and application of improved adaptive MOMEDA fault diagnosis method A trade-off between productivity and cost for the integrated part quality inspection and preventive maintenance planning under uncertainty A new model based on Artificial Bee Colony algorithm for preventive maintenance with replacement scheduling in continuous production lines A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms Developing the R-TOPSIS methodology for risk-based preventive maintenance planning A case study in rolling mill company A two-phase preventive maintenance policy considering imperfect repair and postponed replacement Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks Fault diagnosis of single-phase induction motor based on acoustic signals Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery2018
Deep Convolutional Transfer Learning Network A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning Artificial intelligence for fault diagnosis of rotating machinery A review Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms Integrated control policy of production and preventive maintenance for a deteriorating manufacturing system Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance Hybrid preventive maintenance of competing failures under random environment Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network Remaining useful life estimation in prognostics using deep convolution neural networks Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network2017
Bayesian Networks in Fault Diagnosis A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method Investigating reliability improvement of second-hand production equipment considering warranty and preventive maintenance strategies Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration RoVi Continuous transport infrastructure monitoring framework for preventive maintenance A cost-based integrated importance measure of system components for preventive maintenance Integrated optimization on train scheduling and preventive maintenance time slots planning Preventive maintenance (PM) planning a review A Manufacturing Big Data Solution for Active Preventive Maintenance Railway track circuit fault diagnosis using recurrent neural networks Automatic multi-fault recognition in TFDS based on convolutional neural network Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification Long Short-Term Memory Network for Remaining Useful Life Estimation Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks2016
ViDX Visual Diagnostics of Assembly Line Performance in Smart Factories Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive Rotating machinery diagnostics using deep learning on orbit plot images Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis Convolutional Neural Network Based Fault Detection for Rotating Machinery Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning2015
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities Methodology of neural modeling in fault detection with the use of chaos engineering Gearbox fault identification and classification with convolutional neural networks The early-warning model of equipment chain in gas pipeline based on DNN-HMM Rolling bearing fault diagnosis using an optimization deep belief network Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis Multi-layer neural network with deep belief network for gearbox fault diagnosis Bearing fault diagnosis method based on Hilbert envelope spectrum and deep belief network Cleaning Method for Big Data of Power Transmission and Transformation Equipment State Based on Time Sequence Analysis A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems2014
Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications2013
An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks Failure diagnosis using deep belief learning based health state classification Copula-based model for wind turbine power curveoutlier rejection2012
Using fuzzy logic for robust event detection in wireless sensor networks2011
A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction Research on health assessment based on hidden Markov model Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis Machine health prognostics using survival probability and support vector machine A multiple linear regression data predicting method using correlation analysis for wireless sensor networks Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 6252010
Identification of out of control quality characteristics in a multivariate manufacturing environment Detection of broken rotor bars in induction motors using nonlinear Kalman filters A New Fault Detection Method of Induction Motor A cutter tool monitoring in machining process using Hilbert–Huang transform2009
Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics Fault diagnosis based on Walsh transform and rough sets2008
Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems Multi-sensor data fusion in cluster based wireless sensor networks using fuzzy logic method2007
Hidden semi-Markov model based methodology for multi-sensor equipment health diagnosis and prognosis A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology Data Fusion Algorithms in Cluster-based Wireless Sensor Networks sing Fuzzy Logic Theory2006
Hierarchical HMMs for autonomous diagnostics and prognostics On-line fan blade damage detection using neural networks Intelligent Fault Diagnosis and Prognosis for Engineering Systems2004
Maintenance Changing Role in Life Cycle Management HMMs for diagnostics and prognostics in machining processes A prognostic algorithm for machine performance assessment and its application2003
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics Pipe system diagnosis and leak detection by unsteady-state tests. 2. Wavelet analysis Pipe system diagnosis and leak detection by unsteady-state tests. 1. Harmonic analysis2002
Squirrel cage rotor faults detection in induction motor utilizing stator power spectrum approach2000
Fault diagnosis of electronic analog circuits using a radial basis function network classifier1999
Prognostic modelling of crack growth in a tensioned steel band1997
Diagnostic tools for multivariable model-based control systems1996
Statistical process monitoring and disturbance diagnosis in multivariable continuous processes