Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000157789
Related identifier:
-
Creator/Author:
Ströbel, Robin [Institut für Produktionstechnik]

Probst, Yannik [Institut für Produktionstechnik]

Fleischer, Jürgen [Institut für Produktionstechnik]
Contributors:
-
Title:
Training and validation dataset of milling processes for time series prediction
Additional titles:
-
Description:
(Abstract) Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens Industrial Edge Prozesse mit einer Abtastrate von 500 Hz aufgenommen. Es wurde ein Prozess für das Modelltraining und ein Pr...

(Abstract) The aim of the data set is the training as well as the validation of models for the prediction of time series for milling processes. For this purpose, processes with a sampling rate of 500 Hz were recorded on a DMG CMX 600 V by a Siemens Industrial Edge. A process for model training and a process fo...

(Technical Remarks) Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without...
Keywords:
Machine tool
Time series prediction
Machine Learning
Milling
CNC
Related information:
-
Language:
-
Production year:
Subject areas:
Engineering
Resource type:
Dataset
Data source:
-
Software used:
-
Data processing:
-
Publication year:
Rights holders:
Ströbel, Robin

Probst, Yannik

Fleischer, Jürgen
Funding:
-
Name Storage Metadata Upload Action
Status:
Published
Uploaded by:
kitopen
Created on:
Archiving date:
2023-06-22
Archive size:
791.4 MB
Archive creator:
kitopen
Archive checksum:
6f01cb1af6976d3f22dd3d5a5cc09bf2 (MD5)
Embargo period:
-