Journal articles on the topic 'Early-chatter detection'
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Yang, Kai, Guofeng Wang, and Junyu Cong. "Milling chatter monitoring based on sparse representation and image similarity measurement." Insight - Non-Destructive Testing and Condition Monitoring 64, no. 3 (March 1, 2022): 146–54. http://dx.doi.org/10.1784/insi.2022.64.3.146.
Gupta, Pankaj, and Bhagat Singh. "Analyzing chatter vibration during turning on computer numerical control lathe using ensemble local mean decomposition and probabilistic approach." Noise & Vibration Worldwide 52, no. 6 (March 12, 2021): 168–80. http://dx.doi.org/10.1177/0957456521999871.
Liu, Yao, Xiufeng Wang, Jing Lin, and Wei Zhao. "Early chatter detection in gear grinding process using servo feed motor current." International Journal of Advanced Manufacturing Technology 83, no. 9-12 (August 18, 2015): 1801–10. http://dx.doi.org/10.1007/s00170-015-7687-9.
Yang, Bin, Kai Guo, Qian Zhou, and Jie Sun. "Early chatter detection in robotic milling under variable robot postures and cutting parameters." Mechanical Systems and Signal Processing 186 (March 2023): 109860. http://dx.doi.org/10.1016/j.ymssp.2022.109860.
Cao, Hongrui, Kai Zhou, Xuefeng Chen, and Xingwu Zhang. "Early chatter detection in end milling based on multi-feature fusion and 3σ criterion." International Journal of Advanced Manufacturing Technology 92, no. 9-12 (May 18, 2017): 4387–97. http://dx.doi.org/10.1007/s00170-017-0476-x.
Yan, Shichao, and Yuwen Sun. "Early chatter detection in thin-walled workpiece milling process based on multi-synchrosqueezing transform and feature selection." Mechanical Systems and Signal Processing 169 (April 2022): 108622. http://dx.doi.org/10.1016/j.ymssp.2021.108622.
Ocean, Allyson J., Niraj Jaysukh Gusani, Muhammad Shaalan Beg, Anirban Maitra, Julissa Viana, Allison Rosenzweig, Fatima Zelada-Arenas, et al. "Introduction of #PancChat: A novel Twitter platform to inform and engage the pancreatic cancer community." Journal of Clinical Oncology 36, no. 4_suppl (February 1, 2018): 242. http://dx.doi.org/10.1200/jco.2018.36.4_suppl.242.
Ma, Lei, Shreyes N. Melkote, and James B. Castle. "A Model-Based Computationally Efficient Method for On-Line Detection of Chatter in Milling." Journal of Manufacturing Science and Engineering 135, no. 3 (May 24, 2013). http://dx.doi.org/10.1115/1.4023716.
Matthew, Dialoke Ejiofor, Jianghai Shi, Maxiao Hou, and Hongrui Cao. "CHATTER DETECTION IN VIBRATION SIGNALS USING TIME-FREQUENCY ANALYSIS." MM Science Journal 2023, no. 4 (November 15, 2023). http://dx.doi.org/10.17973/mmsj.2023_11_2023099.
Hynynen, Katja M., Juho Ratava, Tuomo Lindh, Mikko Rikkonen, Ville Ryynänen, Mika Lohtander, and Juha Varis. "Chatter Detection in Turning Processes Using Coherence of Acceleration and Audio Signals." Journal of Manufacturing Science and Engineering 136, no. 4 (May 21, 2014). http://dx.doi.org/10.1115/1.4026948.
Navarro-Devia, John Henry, Yun Chen, Dzung Viet Dao, and Huaizhong Li. "Chatter detection in milling processes—a review on signal processing and condition classification." International Journal of Advanced Manufacturing Technology, February 7, 2023. http://dx.doi.org/10.1007/s00170-023-10969-2.
Lu, Yezhong, Haifeng Ma, Yuxin Sun, Zhanqiang Liu, and Qinghua Song. "An Early Chatter Detection Method Based on Multivariate Variational Mode Decomposition and Chatter Correlation Factor." IEEE/ASME Transactions on Mechatronics, 2022, 1–12. http://dx.doi.org/10.1109/tmech.2022.3188680.
Sarker, Abeed, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, and Mohammed Al-Garadi. "Early detection of fraudulent COVID-19 products from Twitter chatter: a dataset and a baseline approach using anomaly detection (Preprint)." JMIR Infodemiology, October 20, 2022. http://dx.doi.org/10.2196/43694.
Zhao, Yanqing, Kondo H. Adjallah, Alexandre Sava, and Zhouhang Wang. "MaxEnt feature-based reliability model method for real-time detection of early chatter in high-speed milling." ISA Transactions, July 2020. http://dx.doi.org/10.1016/j.isatra.2020.07.022.
Trout, John N., and Jason R. Kolodziej. "Reciprocating compressor valve condition monitoring using image-based pattern recognition." Annual Conference of the PHM Society 8, no. 1 (October 3, 2016). http://dx.doi.org/10.36001/phmconf.2016.v8i1.2500.