Abstract: Method for diagnosing a pneumatic control valve by using a positioner model includes: establishing relational expression for outputting valve stem displacement according to control pressure, the relational expression including parameters for the characteristics of a positioner, an actuator, and a valve, determining initial parameter value by adjusting the values of the parameters until the difference between a measured value for a normal operation of the pneumatic control valve and output value obtained by the relational expression is smaller than predetermined error limit, determining diagnostic parameter value by adjusting the values of the parameters until the difference between a measured value for a diagnostic operation of the pneumatic control valve and an output value obtained by the relational expression is smaller than a predetermined error limit, and comparing the initial parameter value and the diagnostic parameter value so as to determine whether the pneumatic control valve has abnormality.

Abstract: 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.

Abstract: 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.

Abstract: The present invention provides a method for integrated online monitoring and a system for integrated online monitoring from a remote location for a nuclear power plant. The method includes a first step of collecting machine monitoring data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the monitoring data relay device, and a second step of collecting machine diagnostic data of a plurality of units in the nuclear power plant selectively from the local data acquisition device via the diagnostic data relay device.

Abstract: 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.

Abstract: 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.

Abstract: The present invention provides an online diagnostic/prognostic system, for a rotation device, which does not require a diagnostic apparatus to be transferred and enables easy transmission of waveform data to a remote site. To this end, the present invention comprises: a vibration sensor mounted on a rotation device; a data analyzing unit connected to the vibration sensor and for extracting valid data, which is required for the diagnosis of the rotation device, from data obtained from the vibration sensor; and a diagnostic/prognostic server for diagnosing for abnormalities in the rotation device by means of comparing the valid data and prestored data. Therefore, the present invention does not require an apparatus for measuring vibrations to be transferred and enables transmission of waveform data to a remote cite, thereby enabling more efficient diagnosis for a rotation device and preventing abnormalities in the rotation device.

Abstract: The present invention provides a method for enabling a large integrated monitoring screen for integrated monitoring of multiple reactors, and a large integrated monitoring screen system. The method for enabling the large integrated monitoring screen comprises the steps of: a screen generation managing device in a remote integrated monitoring center generating at least one of a status monitoring screen, an early warning screen, a diagnostic analysis screen, and a CCTV screen with respect to a plurality of reactors in a nuclear power plant; and transmitting a screen requested by an administrator to the large integrated monitoring screen through an integrated screen control device.

Abstract: Method for diagnosing a pneumatic control valve by using a positioner model includes: establishing relational expression for outputting valve stem displacement according to control pressure, the relational expression including parameters for the characteristics of a positioner, an actuator, and a valve, determining initial parameter value by adjusting the values of the parameters until the difference between a measured value for a normal operation of the pneumatic control valve and output value obtained by the relational expression is smaller than predetermined error limit, determining diagnostic parameter value by adjusting the values of the parameters until the difference between a measured value for a diagnostic operation of the pneumatic control valve and an output value obtained by the relational expression is smaller than a predetermined error limit, and comparing the initial parameter value and the diagnostic parameter value so as to determine whether the pneumatic control valve has abnormality.

Abstract: The present invention provides a method for diagnosing a rotation device by means of a rotor-bearing-foundation model, the method characterized by utilizing the characteristics of a simulation rotor system. To this end, the present invention comprises the steps of: simulating a rotation device as a rotor system; forming a mathematical model for the rotor system; estimating the state of the rotation device by means of the mathematical model and a vibration measurement value of the rotation device; and diagnosing for abnormalities in the rotation device from the changes in an estimated value. Therefore, since a rotation device is diagnosed for abnormalities by means of forming a mathematical model for a rotor system, the present invention enables more accurate diagnosis of the rotation device.