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The application demonstrates a time series use case by detecting the anomalous power generation patterns relative to wind speed. By identifying deviations, it helps optimize maintenance schedules and prevent potential turbine failures, enhancing operational efficiency.
Note: The tags suffixed with
-weeklyand-rcXare developmental builds, may not be stable.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
Copyright (C) 2024 Intel Corporation.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.
*Other names and brands may be claimed as the property of others.
Content type
Helm
Digest
sha256:8b6105a51…
Size
75.3 kB
Last updated
2 days ago
helm pull oci://registry-1.docker.io/intel/wind-turbine-anomaly-detection-sample-app --version 2026.2.0-rc1Pulls:
102
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