Abstract: The present invention relates to a power plant early warning device and method which employ a multiple prediction model, and includes: a plurality of prediction models which receive information about the operation states of equipment in a power plant, and output prediction values and the reliabilities of the prediction values; a reliability analysis module which quantizes and analyzes the reliabilities output from the plurality of prediction models to determine the ranks of the plurality of prediction models, and calculates a final prediction value; a comparison module which compares the final prediction value with an actual measurement value, and outputs a residual; and a determination module which analyzes the residual to determine whether there are defects in the operating states of the equipment in the power plant.

Abstract: The present invention relates to a power plant early warning device and method which employ a multiple prediction model, and includes: a plurality of prediction models which receive information about the operation states of equipment in a power plant, and output prediction values and the reliabilities of the prediction values; a reliability analysis module which quantizes and analyzes the reliabilities output from the plurality of prediction models to determine the ranks of the plurality of prediction models, and calculates a final prediction value; a comparison module which compares the final prediction value with an actual measurement value, and outputs a residual; and a determination module which analyzes the residual to determine whether there are defects in the operating states of the equipment in the power plant.

Abstract: The present invention relates to an abnormal driving state determination device using a neural network model, and the device can comprise: an abnormal driving state data generation unit for generating abnormal driving state data on the basis of information related to an abnormal driving state; an abnormal driving state learning unit which receives the abnormal driving state data so as to visualize the abnormal driving state data through a visualization algorithm, thereby allowing the abnormal driving state data to be learned by a neural network model; and an abnormal driving state determination unit including the neural network model for determining an abnormal state on the basis of the learned abnormal driving state data.

Abstract: The present invention relates to a battery-integrated driver for an electric bicycle, and more specifically, related to a driver capable of changing an ordinary bicycle to an electric bicycle. The driver is installed in a hub on the back of a general bicycle and can be housed inside the hub without an external power connection. Thus, a user can easily assemble an electric bicycle and use it conveniently. The battery-integrated driver includes: a wheel hub (H); a rear side chain support (C) and a saddle support (S) of a bicycle which are coupled to each other at the wheel hub (H); a hub (30) provided in the wheel hub (H) and coupled to a wheel rim through spokes, wherein a tire is installed on the wheel rim; a driver (A) provided in the hub (30) and including an electric motor (660), wherein the electric motor (660) supplies electric power to rotate a wheel; and a battery provided in the driver (A) in a detachable manner and driving the electric motor (660).

Abstract: A driving control method for an electric bicycle includes: a starting step of supplying the electric power to the electric motor (41) of the electric driving unit (40) and the driving control unit (80) and making the electric bicycle ready to move using the electric power upon a start signal; a constant speed driving step of moving the electric bicycle at a constant rotational speed under the control of the electric driving unit (40), regardless of the pedaling power is provided; a constant speed driving releasing step of automatically discontinuing the constant speed driving step; and a slope skidding prevention step of preventing the electric bicycle from being pushed, in a moving direction or in an opposite direction to the moving direction when the electric bicycle starts and stops on a slope by applying a high load and a counter electromotive force to the electric driving unit (40) and the electric motor (41).

Abstract: A driving control method for an electric bicycle includes: a starting step of supplying the electric power to the electric motor (41) of the electric driving unit (40) and the driving control unit (80) and making the electric bicycle ready to move using the electric power upon a start signal; a constant speed driving step of moving the electric bicycle at a constant rotational speed under the control of the electric driving unit (40), regardless of the pedaling power is provided; a constant speed driving releasing step of automatically discontinuing the constant speed driving step; and a slope skidding prevention step of preventing the electric bicycle from being pushed, in a moving direction or in an opposite direction to the moving direction when the electric bicycle starts and stops on a slope by applying a high load and a counter electromotive force to the electric driving unit (40) and the electric motor (41).

Abstract: The present invention relates to a battery-integrated driver for an electric bicycle, and more specifically, related to a driver capable of changing an ordinary bicycle to an electric bicycle. The driver is installed in a hub on the back of a general bicycle and can be housed inside the hub without an external power connection. Thus, a user can easily assemble an electric bicycle and use it conveniently. The battery-integrated driver includes: a wheel hub (H); a rear side chain support (C) and a saddle support (S) of a bicycle which are coupled to each other at the wheel hub (H); a hub (30) provided in the wheel hub (H) and coupled to a wheel rim through spokes, wherein a tire is installed on the wheel rim; a driver (A) provided in the hub (30) and including an electric motor (660), wherein the electric motor (660) supplies electric power to rotate a wheel; and a battery provided in the driver (A) in a detachable manner and driving the electric motor (660).

Abstract: Disclosed is a device for detecting an open phase of a connection line of a standby transformer in a nuclear power plant by using a Rogowski coil. A Rogowski coil is provided to a neutral line of a Y connection at the primary side of the standby transformer. An open phase detection unit is provided for determining the generation of an open phase at the primary side and generating a warning signal if a current induced in the Rogowski coil is maintained at a value higher than a preset reference value for a time longer than a preset reference time in a state where a circuit breaker at the secondary side of the standby transformer is open. A main control unit is provided for displaying the warning to an administrator according to the warning signal provided by the open phase detection part.

Abstract: Disclosed is a device for detecting an open phase of a connection line of a standby transformer in a nuclear power plant by using a Rogowski coil. A Rogowski coil is provided to a neutral line of a Y connection at the primary side of the standby transformer. An open phase detection unit is provided for determining the generation of an open phase at the primary side and generating a warning signal if a current induced in the Rogowski coil is maintained at a value higher than a preset reference value for a time longer than a preset reference time in a state where a circuit breaker at the secondary side of the standby transformer is open. A main control unit is provided for displaying the warning to an administrator according to the warning signal provided by the open phase detection part.