Engraving machine anomaly detection method based on improved particle filter and convolutional network

The invention discloses an engraving machine anomaly detection method based on improved particle filtering and a convolutional network. The method is divided into an offline training stage and an anomaly detection stage. In the off-line training stage, firstly, operation data of the engraving machin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	ZHANG WENAN, WU QI, HONG ZHEN, ZHANG BAOKANG, QIU XIANG, GU BOSHENG, CHEN BO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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