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The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process512

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July 2019August 2019September 2019October 2019November 2019December 2019
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process10030211513
January 2020February 2020March 2020April 2020May 2020June 2020
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process57332813
July 2020August 2020September 2020October 2020November 2020December 2020
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process1265498
January 2021February 2021March 2021April 2021May 2021June 2021
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process541144
July 2021August 2021September 2021October 2021November 2021December 2021
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process55322221
January 2022February 2022March 2022April 2022May 2022June 2022
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process811101194
July 2022August 2022September 2022October 2022November 2022December 2022
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process65316126
January 2023February 2023March 2023April 2023May 2023June 2023
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process71528630
July 2023August 2023September 2023October 2023November 2023December 2023
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process161000
January 2024February 2024March 2024April 2024
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process812523

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