Detection of tool breakage during milling process through acoustic emission
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Detection of tool breakage during milling process through acoustic emission
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 109, Issue 5-6, Pages 1409-1418
Publisher
Springer Science and Business Media LLC
Online
2020-07-17
DOI
10.1007/s00170-020-05751-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Technical data-driven tool condition monitoring challenges for CNC milling: a review
- (2020) Shi Yuen Wong et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- CNC internal data based incremental cost-sensitive support vector machine method for tool breakage monitoring in end milling
- (2018) Guangda Xu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Review of tool condition monitoring methods in milling processes
- (2018) Yuqing Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Classifying Imbalanced Data Sets by a Novel RE-Sample and Cost-Sensitive Stacked Generalization Method
- (2018) Jianhong Yan et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Learning from class-imbalanced data: Review of methods and applications
- (2017) Guo Haixiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- The study of under- and over-sampling methods’ utility in analysis of highly imbalanced data on osteoporosis
- (2017) M. Bach et al. INFORMATION SCIENCES
- Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling
- (2017) Raphael Corne et al. JOURNAL OF MANUFACTURING SYSTEMS
- Tool condition monitoring and degradation estimation in rotor slot machining process
- (2016) Yingchao Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An automatic system based on vibratory analysis for cutting tool wear monitoring
- (2016) Wafaa Rmili et al. MEASUREMENT
- Detection of tool breakage during hard turning through acoustic emission at low removal rates
- (2015) M. Neslušan et al. MEASUREMENT
- Monitoring and processing signal applied in machining processes – A review
- (2014) C.H. Lauro et al. MEASUREMENT
- Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
- (2013) Qun Ren et al. INFORMATION SCIENCES
- The relationship between acoustic emission signals and cutting phenomena in turning process
- (2013) Alan Hase et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics
- (2012) Omid Geramifard et al. IEEE Transactions on Industrial Informatics
- Online monitoring and measurements of tool wear for precision turning of stainless steel parts
- (2012) Tien-I Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks
- (2011) D.A. Tobon-Mejia et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Advanced monitoring of machining operations
- (2010) R. Teti et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Feature Selection for Classification of Hyperspectral Data by SVM
- (2010) Mahesh Pal et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Industrial application of a multitooth tool breakage detection system using spindle motor electrical power consumption
- (2009) Aníbal Reñones et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
- (2009) Kunpeng Zhu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Development of an intelligent multisensor chatter detection system in milling
- (2009) E. Kuljanic et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations
- (2008) Iulian Marinescu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search