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Simulation and Plant Data for Fault Detection Validation Study of an AI Learning System

The data asset contains two parts: 1) simulation data from GE Steam Power’s dynamic boiler simulator based on a reference boiler design; 2) plant data from Southern Company collected from a boiler feed water pump. The data are generated and/or gathered under the DOE program (DE-FE0031763) for the validation study of the DANCE4CFDD AI learning system developed during the program. All the data fields are normalized to preserve confidential or business sensitive information. For more information about the data and the validation study, please refer to the final report (forthcoming).

Acknowledgment: "This material is based upon work supported by the Department of Energy, National Energy Technology Laboratory under Award Number DE-FE0031763."

Disclaimer: "This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof."

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Last Updated December 3, 2021, 20:52 (EST)
Created November 30, 2021, 18:54 (EST)
Citation Fred Xue, Simulation and Plant Data for Fault Detection Validation Study of an AI Learning System, 11/30/2021,
Netl Product yes
Poc Email
Point Of Contact Omer Bakshi
Program Or Project DE-FE0031763