Mark Schwabacher: Fault Detection in Rocket Engines
The Association for Computing MachineryRate It
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Chapters
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Watch Full Program
01 hr 19 min 05 sec
- 01.
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Drawbacks of Humans Detecting Rocket Faults
03 min 04 sec
- 02.
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Model Based Approach
01 min 31 sec
- 03.
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Unsupervised Anomaly Detection
04 min 48 sec
- 04.
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Supervised Learning
00 min 58 sec
- 05.
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Detection Algorithms
12 min 08 sec
- 06.
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Decision Trees
00 min 55 sec
- 07.
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Space Shuttle Main Engine Data
03 min 46 sec
- 08.
-
Modeling New J-2X Rocket Engine
04 min 14 sec
- 09.
-
Technical Approach
00 min 50 sec
- 10.
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High Pressure Fuel Turbopump Failure
06 min 44 sec
- 11.
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Failure Detection by IMS
11 min 34 sec
- 12.
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One-Class SVM Result
06 min 07 sec
- 13.
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Orca Detection, Possible Precursor
06 min 57 sec
- 14.
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Temperature Sensor Failure
03 min 49 sec
- 15.
-
Pressure Sensor Failure
05 min 02 sec
- 16.
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Vibration Sensor Failure
04 min 34 sec
- 17.
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Fuel Flow Sensor Anomaly
01 min 53 sec
-
Watch Full Program
01 hr 19 min 05 sec
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