
Statistical tools for anomaly detection as a part of predictive maintenance in the mining industry
Author(s) -
Agnieszka Wyłomańska
Publication year - 2022
Publication title -
ems magazine
Language(s) - English
Resource type - Journals
eISSN - 2747-7908
pISSN - 2747-7894
DOI - 10.4171/mag/66
Subject(s) - anomaly detection , predictive maintenance , anomaly (physics) , computer science , data mining , mining industry , engineering , reliability engineering , mining engineering , physics , condensed matter physics