Cite
Tool condition monitoring method by anomaly segmentation of time-frequency images using acoustic emission in small hole drilling
MLA
Taro NAKANO, et al. “Tool Condition Monitoring Method by Anomaly Segmentation of Time-Frequency Images Using Acoustic Emission in Small Hole Drilling.” Journal of Advanced Mechanical Design, Systems, and Manufacturing, vol. 17, no. 3, June 2023. EBSCOhost, https://doi.org/10.1299/jamdsm.2023jamdsm0034.
APA
Taro NAKANO, Hiroshi KORESAWA, & Hiroyuki NARAHARA. (2023). Tool condition monitoring method by anomaly segmentation of time-frequency images using acoustic emission in small hole drilling. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 17(3). https://doi.org/10.1299/jamdsm.2023jamdsm0034
Chicago
Taro NAKANO, Hiroshi KORESAWA, and Hiroyuki NARAHARA. 2023. “Tool Condition Monitoring Method by Anomaly Segmentation of Time-Frequency Images Using Acoustic Emission in Small Hole Drilling.” Journal of Advanced Mechanical Design, Systems, and Manufacturing 17 (3). doi:10.1299/jamdsm.2023jamdsm0034.