Abstract: The present invention provides a transformer malfunction diagnostic device and a malfunction diagnosis method using same, wherein a rule-based learning method is combined with a deep-learning-based learning method based on artificial intelligence. The transformer malfunction diagnosis device according to an embodiment of the present invention comprises: a data scaling unit for scaling dissolved gas analysis data acquired from a transformer, a provisionally labeled data acquisition unit for converting unlabeled data, among the scaled dissolved gas analysis data, to provisionally labeled data and acquiring same; a prelearning unit for performing prelearning for the unlabeled data, among the scaled dissolved gas analysis data, and the provisionally labeled data; and a relearning unit for performing relearning for a labeled data through the transformer of parameters optimized by performing the prelearning.

Abstract: A system and a method for estimating pressure distribution of a battery cell evaluate distribution of pressure applied to the battery cell due to applied loads during the pressure test of the battery cell. The method includes disposing the battery cell in a pressing apparatus and pressing the battery cell, measuring strains by strain sensors provided in the pressing apparatus, and estimating a pressure distribution applied to the battery cell based on the strains.

Abstract: An apparatus and method for diagnosing rotor shaft are disclosed herein. The apparatus for diagnosing a rotor shaft that is installed in a bearing so that the rotor shaft is rotated around an axis of rotation includes a measurement unit, a calculation unit, an image generation unit, and a diagnosis unit. The measurement unit measures first vibration signals at two points of the rotor shaft located on a surface perpendicular to the axis of rotation. The calculation unit generates second vibration signals, which are vibration signals at points located in a plane identical to the plane of the two points of the rotor shaft at which the first vibration signals are measured, based on the first vibration signals. The image generation unit generates an image based on the second vibration signals. The diagnosis unit diagnoses the rotor shaft based on the generated image.

Abstract: Disclosed are an apparatus and a method for predicting a fault state of an inverter. The apparatus for predicting a fault state of an inverter includes: an inverter converting DC power into AC power; a switching element provided in the inverter; and a controller extracting a fault sign factor based on an output signal output from the inverter and predicting a fault of the switching element based on the fault sign factor.

Abstract: Disclosed are an apparatus and a method for predicting a fault state of an inverter. The apparatus for predicting a fault state of an inverter includes: an inverter converting DC power into AC power; a switching element provided in the inverter; and a controller extracting a fault sign factor based on an output signal output from the inverter and predicting a fault of the switching element based on the fault sign factor.

Abstract: An apparatus and method for diagnosing rotor shaft are disclosed herein. The apparatus for diagnosing a rotor shaft that is installed in a bearing so that the rotor shaft is rotated around an axis of rotation includes a measurement unit, a calculation unit, an image generation unit, and a diagnosis unit. The measurement unit measures first vibration signals at two points of the rotor shaft located on a surface perpendicular to the axis of rotation. The calculation unit generates second vibration signals, which are vibration signals at points located in a plane identical to the plane of the two points of the rotor shaft at which the first vibration signals are measured, based on the first vibration signals. The image generation unit generates an image based on the second vibration signals. The diagnosis unit diagnoses the rotor shaft based on the generated image.

Abstract: A method and a system for predicting a temperature of a battery include the steps of measuring a temperature at an entrance of a battery air conditioning line, an air volume of the battery air conditioning line, and a current amount of the battery. Deriving a heating value of the battery based on the measured data and the temperatures at multiple points of the battery by substituting the temperature at the entrance, the air volume, the current amount, and the heating value into an operation logic.