Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping

doi:doi:10.25835/ph65zrpv

Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping

Longitudinal turning experiments using aluminum-steel-workpieces. Error-free processes and processes with artificial grooves in different locations

Data and Resources

A001.h5
Time series of measured process signals
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A004.h5
Time series of measured process signals
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A005.h5
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A007.h5
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A002.h5
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A101.h5
Time series of measured process signals
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A009.h5
Time series of measured process signals
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A104.h5
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A010.h5
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A008.h5
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A103.h5
Time series of measured process signals
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A006.h5
Time series of measured process signals
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A102.h5
Time series of measured process signals
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A003.h5
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Cite this as

Denkena, Berend, Bergmann, Benjamin, Klemme, Heinrich, Handrup, Miriam (2024). Dataset: Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping. https://doi.org/10.25835/ph65zrpv

DOI retrieved: October 15, 2024

Additional Info

Field	Value
Imported on	November 28, 2024
Last update	November 28, 2024
License	CC-BY-NC-3.0
Source	https://data.uni-hannover.de/dataset/anomaly-detection-method-for-hybrid-components-using-dynamic-time-warping
Version	1.0
Author	Denkena, Berend
Given Name	Berend
Family Name	Denkena
More Authors	Bergmann, Benjamin Klemme, Heinrich Handrup, Miriam
Author Email	Denkena, Berend
Maintainer	Miriam Handrup
Maintainer Email	Miriam Handrup
Source Creation	15 October, 2024, 12:29 PM (UTC+0000)
Source Modified	15 October, 2024, 12:30 PM (UTC+0000)