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The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process565

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January 2020February 2020March 2020April 2020May 2020June 2020
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process56171712
July 2020August 2020September 2020October 2020November 2020December 2020
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process633498
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 2023
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process7152863
July 2023August 2023September 2023
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process161
January 2024February 2024March 2024April 2024May 2024June 2024
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process8125271824
July 2024August 2024September 2024October 2024November 2024December 2024
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process36431133220

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