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From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data
Research article (Journal of Physics Conference Series, 2019) · cited 28× · AI/ML
From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data
Summary
From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data is a scholarly article[1].
Key Facts
From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-scada-to-lifetime-assessment-and-performance-optimization-how-to-use-models-and-machine-learning-to-extract-useful-
MLA“From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-scada-to-lifetime-assessment-and-performance-optimization-how-to-use-models-and-machine-learning-to-extract-useful-.
BibTeX@misc{4ortxyz_from-scada-to-lifetime-assessment-and-performance-optimization-how-to-use-models-and-machine-learning-to-extract-useful-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From SCADA to lifetime assessment and performance optimization: how to use models and machine learning to extract useful insights from limited data}}, year = {2026}, url = {https://4ort.xyz/entity/from-scada-to-lifetime-assessment-and-performance-optimization-how-to-use-models-and-machine-learning-to-extract-useful-}, note = {Accessed: 2026-05-24}}
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