A Comprehensive Dataset for Deep-Learning-Based Monitoring and Analysis in Real Process Control Networks.
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https://ieee-dataport.org/documents/comprehensive-dataset-deep-learning-based-monitoring-and-analysis-real-process-control
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资源简介：
This article presents a dataset collected from a real process control network (PCN) to facilitate deep-learning-based anomaly detection and analysis in industrial settings. The dataset aims to provide a realistic environment for researchers to develop, test, and benchmark anomaly detection models without the risk associated with experimenting on live systems. It reflects raw process data from a gas processing plant, offering coverage of critical parameters vital for system performance, safety, and process optimization.
提供机构：
IEEE DataPort
创建时间：
2024-01-28
