Title :
The application of failure prognostic system in state monitoring of power plant generation equipments
Author :
Shuping, Chang ; Ruitao, Wu ; Yukun, Lv ; Ming, Gao
Author_Institution :
Thermal Dynamic Technology Institute, Electrical Science Research Institute of Hebei, Shijiazhuang, China
Abstract :
Many equipments of power plant are always working in high temperature, high pressure and relatively harsh environment, it is easy to have failures. So it is necessary to make on-line monitoring. The failure prognostic system based on similarity modeling can detect early signs of equipment failure, thereby we can take measures online to restraint the deterioration development before the failure occur, reduce maintenance costs, and ensure the unit operation normally.
Keywords :
generating unit equipments; the failure prognostic system; the power plant;
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
Print_ISBN :
978-1-4673-4497-5