09: Industrie 4.0, Vorlesung, WS 2017/18, 12.01.2018
Author
Editor
Participating institute
Institut für Anthropomatik und Robotik (IAR)
Genre
Description
- 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
Duration (hh:mm:ss)
01:23:21
Series
Industrie 4.0, Vorlesung, WS 2017/18
Published on
30.01.2018
Subject area
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 128000 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 933995 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 5001 s |
| Filename | DIVA-2018-28_hd.mp4 |
| File Size | 583.885.083 byte |
| Frame Rate | 25 |
| Video Bitrate | 799901 bps |
| Video Codec | h264 |
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Industrie 4.0, Vorlesung, WS 2017/18
Episodes 1-12
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