Fault diagnosis for boilers in thermal power plant by data mining

@article{Yang2004FaultDF,
  title={Fault diagnosis for boilers in thermal power plant by data mining},
  author={Ping Yang and Sui Sheng Liu},
  journal={ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.},
  year={2004},
  volume={3},
  pages={2176-2180 Vol. 3}
}
A new approach to diagnose faults of boilers in thermal power plants is proposed and a hybrid-intelligence data-mining framework is developed to extract hidden diagnosis information from supervisory control and data acquisition (SCADA) system. The hard core of this framework is a data mining algorithm based on rough set theory. The decision table mining from SCADA system is expressed directly by variables in its database, it is easy for engineers to understand and apply. This makes it possible… CONTINUE READING
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