09: Industrie 4.0, Vorlesung, WS 2017/18, 12.01.2018
Autor
Herausgeber
Beteiligtes Institut
Institut für Anthropomatik und Robotik (IAR)
Genre
Beschreibung
09 |
0:00:00 Starten
0:01:44 Naibe Bayes Classifier Algorithm
0:03:13 k-means Clustering Algorithm
0:03:45 Support Vector Machine Learning Algorithm
0:07:53 Linear Regression Machine Learning Algorithm
0:11:13 Data Analytics and ML Use Cases
0:16:39 Predictive Maintenance
0:20:21 Single Machine: Speed Optimization
0:30:48 Single Machine: Quality Optimization
0:34:25 Production Line: Throughput Optimization
0:36:13 Production Line: Quality Optimization
0:37:59 Production Line: Scheduling/Worklow Optimization
0:43:53 Robot Skill Learning
0:50:01 Learning Hand-Eye Coordination
0:59:47 Business: Optimization Demand Forecast
1:02:49 Motivation: Predictive Maintance
1:13:46 Machine Learning Algorithms for Predictive Maintance
Laufzeit (hh:mm:ss)
01:23:21
Serie
Industrie 4.0, Vorlesung, WS 2017/18
Publiziert am
30.01.2018
Fachgebiet
Lizenz
| Auflösung | 1280 x 720 Pixel |
| Seitenverhältnis | 16:9 |
| Audiobitrate | 128000 bps |
| Audio Kanäle | 2 |
| Audio Codec | aac |
| Audio Abtastrate | 48000 Hz |
| Gesamtbitrate | 933995 bps |
| Farbraum | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Medientyp | video/mp4 |
| Dauer | 5001 s |
| Dateiname | DIVA-2018-28_hd.mp4 |
| Dateigröße | 583.885.083 byte |
| Bildwiederholfrequenz | 25 |
| Videobitrate | 799901 bps |
| Video Codec | h264 |
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