Machine health management in smart factory: A review
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Machine health management in smart factory: A review' 의 참고문헌
Wireless industrial monitoring and control using a smart sensor platform
Wireless health monitoring system for vibration detection of induction motors
Vibration analysis for bearing fault detection and classification using an intelligent filter
Using neural network based on the shaft orbit feature for online rotating machinery fault diagnosis
Using context-aware workflows for failure management in a smart factory
User experience of a smart factory robot: Assembly line workers demand adaptive robots
Use of artificial intelligence methods for advanced bearing health diagnostics and prognostics
Unit process energy consumption models for material removal processes
US expects energy savings through smart manufacturing
Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination
Tool strain-based wear estimation in micro turning using Bayesian networks
Thin-film PVDF sensor-based monitoring of cutting forces in peripheral end milling
The use of acoustic emission for estimation of bearing defect size
The monitoring of three-dimensional printer filament feeding process using an acoustic emission sensor;sustainability through innovation in product life cycle design
The monitoring of micro milling tool wear conditions by wear area estimation
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
The effect of machinability on thermal fields in orthogonal cutting of AISI 4140 steel
The economic impact of technology infrastructure for smart manufacturing, NIST Economic Analysis Briefs, 4
The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery
The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing
Support vector machine in machine condition monitoring and fault diagnosis
Structural health monitoring, inservice experience, benefit and way ahead
Strategies for minimum energy operation for precision machining
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
Smart sensor platform for industrial monitoring and control
Smart factory-towards a factory-of-things
Sensor-cloud and power line communication: Recent developments and integration, Dependable, Autonomic and Secure Computing
Sensor systems for prognostics and health management
Self-maintenance and engineering immune systems: Towards smarter machines and manufacturing systems
Rotational machine health monitoring and fault detection using EMD-based acoustic emission feature quantification
Repairable system reliability: Recent developments in CBM optimization
Remaining useful life estimation-A review on the statistical data driven approaches
Remaining useful life estimation based on stochastic deterioration models: A comparative study
Reliability estimation for cutting tools based on logistic regression model using vibration signals
Reference architecture and knowledge-based structures for smart manufacturing networks
Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics
Real-time drill wear estimation based on spindle motor power
Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model
Real time power consumption monitoring for energy efficiency analysis in micro EDM milling
Prognostics and health management of electronics
Prognostics and health management design for rotary machinery systems-Reviews, methodology and applications
Prognostic modelling options for remaining useful life estimation by industry
Process monitoring with a force sensitive axis-slide for machine tools
Predicting fatigue crack growth under variable amplitude loadings with usage monitoring data
Power measurements during mechanical milling. An experimental way to investigate the energy transfer phenomena
Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process
Optimization of bridge maintenance strategies based on structural health monitoring information
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks
On the concept of emaintenance: Review and current research
Neuralnetwork-based motor rolling bearing fault diagnosis
Natural mechanical degradation measurements in slow speed bearings
Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems
Multi-modal sensing for machine health monitoring in high speed machining
Monitoring tool usage on the basis of sensory information in micro-drilling operations
Monitoring and diagnosis of rolling element bearings using artificial neural networks
Monitoring and adaptive control of cutting process by means of motor power and current measurements
Modelling of direct energy requirements in mechanical machining processes
Modeling and prediction research on wear of electroplated diamond micro-grinding tool in soda lime glass grinding
Manufacturing of smart goods: Current state, future potential, and research recommendations
Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance
Machine vision for tool status monitoring in turning Inconel 718 using blob analysis
Machine condition prognosis based on regression trees and one-stepahead prediction
IoT@ Work automation middleware system design and architecture
Integration of digital factory with smart factory based on Internet of things
Insertable thin film thermocouples for in situ transient temperature monitoring in ultrasonic metal welding of battery tabs
Induction machine condition monitoring using neural network modeling
Increase of process reliability in the micro-machining processes EDM-milling and laser ablation using on-machine sensors
In-situ process monitoring and adaptive control for precision micro-EDM cavity milling
In-situ monitoring of actively cooled plasma facing components using acoustic and thermal methods
Implementing smart factory of industrie 4.0: an outlook
Impact of energy measurements in machining operations
Identification and qualification of temperature signal for monitoring and control in laser cladding
ICT Convergence in internet of things-the birth of smart factories (A technical note)
Hilbert-huang transform-based vibration signal analysis for machine health monitoring
Gearbox fault diagnosis using complementary ensemble empirical mode decomposition and permutation entropy
From cloud computing to cloud manufacturing
Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks
Fault diagnosis of gearbox using empirical mode decomposition and multifractal detrended cross-correlation analysis
Fault diagnosis for rolling bearing under variable conditions based on image recognition
Fault diagnosis for centrifugal pumps based on complementary ensemble empirical mode decomposition, sample entropy and random forest
Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network
Failure detection in assembly: Force signature analysis
Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques
Evaluation of green maintenance initiatives in design and development of mechanical systems using an integrated approach
Estimation of remaining useful life of slow speed bearings using acoustic emission signals
Energy consumption measurement with a multichannel measurement system on a machine tool
Enabling health monitoring approach based on vibration data for accurate prognostics
Economic analysis of condition monitoring systems for offshore wind turbine subsystems
Dynamic wireless passive strain measurement in CNC turning using surface acoustic wave sen
Distributed bearing fault diagnosis based on vibration analysis
Development of sound based tool wear monitoring system in micro-milling
Development of process monitoring system in drilling process using fuzzy rules
Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance
Development of an e-maintenance system integrating advanced techniques
Development of a novel solution to enable integration and interoperability for cloud manufacturing
Developing performance measurement system for Internet of Things and smart factory environment
Design, development and testing of a three component lathe tool dynamometer using resistance strain gauges;CAD/CAM, robotics and factories of the future
Design and implementation of wireless sensor based-monitoring system for smart factory
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Damage prognosis: The future of structural health monitoring
Damage diagnosis using time series analysis of vibration signals
Cyber-physical production systems: Roots, expectations and R&D challenges
Cutting torque and tangential cutting force coefficient identification from spindle motor current
Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals
Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements
Condition monitoring and cloud-based energy analysis for autonomous mobile manipulation-smart factory concept with LUHbots
Condition based maintenance optimization for multi-component systems using proportional hazards model
Computer vision algorithms for measurement and inspection of external screw threads
Comparison between artificial neural network and support vector method for a fault diagnostics in rolling element bearings
Cloud-based design and manufacturing systems: A social network analysis
Challenges and conditions for wireless machine-to-machine communications in industrial environments
Case-based reasoning system with Petri nets for induction motor fault diagnosis
Big data for modern industry: challenges and trends [Point of view]
Bearing health monitoring based on Hilbert-Huang transform, support vector machine, and regression
Bearing condition monitoring methods for electric machines: A general review
Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
Assessment and visualisation of machine tool wear using computer vision
Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals
Artificial neural network and empirical mode decomposition based imbalance fault diagnosis of wind turbine using TurbSim, FAST and Simulink
Approximate entropy as a diagnostic tool for machine health monitoring
Apply lowlevel image feature representation and classification method to identifying shaft orbit of hydropower unit
Application of acoustic emission sensor for monitoring machining processes
Application modes of cloud manufacturing and program analysis
Analysis of dynamic characteristics and evaluation of dynamic stiffness of a 5-axis multi-tasking machine tool by using FEM and exciter test
An overview of time-based and condition-based maintenance in industrial application
An on-line approach for energy efficiency monitoring of machine tools
An investigation of tool-wear monitoring in a high-speed machining process
An integrated dynamic performance measurement system for improving manufacturing competitiveness
An approach to fault diagnosis for gearbox based on image processing
An adaptive control of ultraprecision machining with an in-process micro-sensor
An Internet of things (IoT)-based collaborative framework for advanced manufacturing
Agent-based smart objects management system for real-time ubiquitous manufacturing
Agent-based smart gateway for RFID-enabled real-time wireless manufacturing
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
A wireless inductive-capacitive (LC) sensor for rotating component temperature monitoring
A smart web-based maintenance system for a smart manufacturing environment
A rotating machine acoustic emission monitoring system powered by multi-source energy harvester
A review on prognostic techniques for non-stationary and non-linear rotating systems
A review on machinery diagnostics and prognostics implementing condition-based maintenance
A review on empirical mode decomposition in fault diagnosis of rotating machinery
A review of research in manufacturing prognostics
A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
A prognosis method using agedependent hidden semi-Markov model for equipment health prediction
A novel, fast, reliable data transmission algorithm for wireless machine health monitoring
A novel robust automated FFT-based segmentation and features selection algorithm for acoustic emission condition based monitoring systems
A future possibility of vibration based condition monitoring of rotating machines
A frequency-weighted energy operator and complementary ensemble empirical mode decomposition for bearing fault detection
A cyber‐physical systems architecture for industry 4.0‐based manufacturing systems
A condition-based failure-prediction and processingscheme for preventive maintenance
A comparative study between empirical wavelet transforms and empirical mode decomposition methods: Application to bearing defect diagnosis
A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears
A Diagnosis and Evaluation Method for Strategic Planning and Systematic Design of a Virtual Factory in Smart Manufacturing Systems
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Machine health management in smart factory: A review'
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