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The chronicle of the Early American Industries Association, Inc, ISSN 0012-8147, 1951
Journal
International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, 07/2017, Volume 91, Issue 1-4, pp. 201 - 211
Journal Article
Journal of Manufacturing Science and Engineering, ISSN 1087-1357, 07/2017, Volume 139, Issue 7, pp. 071018 - 071018-9
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 04/2012, Volume 28, pp. 167 - 182
Journal Article
The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, 8/2019, Volume 103, Issue 9, pp. 4627 - 4634
Journal Article
Journal of Manufacturing Science and Engineering, Transactions of the ASME, ISSN 1087-1357, 2018, Volume 140, Issue 4, p. 41005
The emergence of cloud computing, industrial internet of things (IIoT), and new machine learning techniques have shown the potential to advance prognostics and... 
data-driven prognostics | tool wear prediction | random forests | cloud computing | machine learning | prognostics and health management | PROGNOSTICS | FILTER | ALGORITHM | HIDDEN MARKOV-MODELS | ENGINEERING, MECHANICAL | METHODOLOGY | NEURAL-NETWORKS | FLANK WEAR | REMAINING USEFUL LIFE | SYSTEMS | ENGINEERING, MANUFACTURING
Journal Article
Journal of Manufacturing Systems, ISSN 0278-6125, 10/2015, Volume 37, pp. 528 - 534
Trending analysis has been widely investigated for prediction of tool wear, which impacts not only tool life but also the quality of machined products. This... 
Bayesian inference | Remaining useful life | Tool wear prediction | Particle filter | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MANUFACTURING | ENGINEERING, INDUSTRIAL | STATE ESTIMATION | PARAMETER
Journal Article
The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, 08/2019, pp. 1 - 12
Tool remaining useful life prediction is important to guarantee processing quality and efficient continuous production. Tool wear is directly related to the... 
Life prediction | Correlation | Tool wear | Useful life | Signal processing | Continuous production | Feature extraction | Working conditions | Tool life
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 03/2018, Volume 64, pp. 454 - 467
Appropriate and timely maintenance decision for tool health degradation (i.e., wear) is significantly required to prevent severe degradation in product... 
Logic regression | Penalization regularization | Remaining useful life | Manifold regularization | Tool condition prognostics | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | FUSION | FORCE | SIGNALS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Acoustic emission testing | Mechanical engineering
Journal Article
Journal of Manufacturing Processes, ISSN 1526-6125, 08/2017, Volume 28, pp. 457 - 463
Automated Tool condition monitoring is critical in intelligent manufacturing to improve both productivity and sustainability of manufacturing operations.... 
Intelligent manufacturing | Remaining useful life (RUL) | Tool wear | Particle learning | NEURAL-NETWORKS | FILTER | FLANK WEAR | MACHINE | ENGINEERING, MANUFACTURING | INFERENCE | PREDICTION | Models | Mechanical wear | Machine-tools | Maintenance and repair | Machinists' tools | Learning models (Stochastic processes) | Usage | Mechanical properties | Forecasts and trends
Journal Article
The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, 10/2017, Volume 92, Issue 9, pp. 4345 - 4354
Journal Article
IEEE Transactions on Industrial Informatics, ISSN 1551-3203, 01/2018, Volume 14, Issue 1, pp. 69 - 78
Journal Article