The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
ISSN: 1433-3015, 0268-3768
Année de publication: 2019
Volumen: 102
Número: 5-8
Pages: 2133-2146
Type: Article
ISSN: 1433-3015, 0268-3768
Année de publication: 2019
Volumen: 102
Número: 5-8
Pages: 2133-2146
Type: Article