Korea Hydro Nuclear Power Co., Ltd.

Ju Hyung Kang

Chi Yong Park

Young Sheop Park

Ji In Kim

Dae Woong Kim

Byoung Oh Lee

Yang Seok Kim

Jong Seog Kim

Bum Nyun Kim

Nam Woo Choi

Hyoung Kyun Kim

Yong Hoon Park

Hee Seung Chang

You Soo Shin

Gun Woong Shin

System for diagnosing pneumatic control valve online include a sensor set having sensors, attached to a pneumatic control valve, for measuring the state of the pneumatic control valve, a smart data analyzer for processing sensor signal acquired in real time from the sensor set and generating pneumatic control valve state information for online automatic diagnosis of the pneumatic control valve, a data server for transmitting, to an online analysis server, the pneumatic control valve state information received in real time from the smart data analyzer and storing the pneumatic control valve state information for predetermined time period, the online diagnostic server for, by comparing the pneumatic control valve state information with pre-stored normal state data of the pneumatic control valve, determining whether the pneumatic control valve is in abnormal state and generating diagnostic information, and a client computer for displaying the diagnostic information received from the online diagnostic server.

System and method for diagnosing pneumatic control valve online

The present invention provides a method for learning latest data considering external influences in an early warning system, and the early warning system for same. The method for learning latest data considering external influences comprises the steps of: an early warning processing device categorizing device monitored variables according to external influences; and the early warning processing device differently applying a pattern learning method for each of the categorized monitored variables.

Method for learning latest data considering external influences in early warning system and system for same

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Gyeongsangbuk-do, South Korea

Ju Hyung Kang