Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information

Research article (IOP Conference Series Materials Science and Engineering, 2021) · cited 12× · AI/ML
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Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information

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Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information. Retrieved May 24, 2026, from https://4ort.xyz/entity/process-data-based-estimation-of-tool-wear-on-punching-machines-using-tcn-autoencoder-from-raw-time-series-information
MLA “Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/process-data-based-estimation-of-tool-wear-on-punching-machines-using-tcn-autoencoder-from-raw-time-series-information.
BibTeX @misc{4ortxyz_process-data-based-estimation-of-tool-wear-on-punching-machines-using-tcn-autoencoder-from-raw-time-series-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information}}, year = {2026}, url = {https://4ort.xyz/entity/process-data-based-estimation-of-tool-wear-on-punching-machines-using-tcn-autoencoder-from-raw-time-series-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information — https://4ort.xyz/entity/process-data-based-estimation-of-tool-wear-on-punching-machines-using-tcn-autoencoder-from-raw-time-series-information (retrieved 2026-05-24)

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