Abstract

A method for diagnosing a bearing fault on the basis of a current signal, and a device for performing the method, can include the steps, performed by a bearing failure diagnostic device, of: receiving a motor three-phase current signal; denoising the motor three-phase current signal; converting the denoised motor three-phase current signal to a single-phase current signal; determining a characteristic factor on the basis of the single-phase current signal; and determining, on the basis of the characteristic factor, whether a bearing fault exists.

IPC Classes  ?

• G01M 13/04 - Bearings

Abstract

A method for determining an integrity factor through machine learning, and a device for performing such a method can include the steps in which: a device status determination device determines an integrity feature on the basis of machine learning; the device state determination device generates an integrity plane on the basis of the integrity feature; the device state determination device receives target input data of a target device; the device state determination device determines an integrity factor corresponding to the target input data on the basis of the integrity plane; and the device status determination device determines the status of the target device on the basis of the integrity factor.

IPC Classes  ?

• G01R 31/62 - Testing of transformers
• G01R 31/28 - Testing of electronic circuits, e.g. by signal tracer

Abstract

A method of diagnosing GIS (gas insulated switchgear) failure and apparatus for performing method can include classifying, by a noise classification model, a noise signal and a failure signal. The method can also include classifying, by a failure mode classification model, a failure signal type based on the failure signal.

IPC Classes  ?

• G05B 23/02 - Electric testing or monitoring

Abstract

The present invention relates to a method for diagnosing a bearing fault on the basis of a current signal, and a device for performing the method. The method for diagnosing a bearing fault on the basis of a current signal comprises the steps, performed by a bearing failure diagnostic device, of: receiving a motor three-phase current signal; denoising the motor three-phase current signal; converting the denoised motor three-phase current signal to a single-phase current signal; determining a characteristic factor on the basis of the single-phase current signal; and determining, on the basis of the characteristic factor, whether a bearing fault exists.

IPC Classes  ?

• G01R 31/34 - Testing dynamo-electric machines
• G01R 23/16 - Spectrum analysisFourier analysis
• G01R 25/04 - Arrangements for measuring phase angle between a voltage and a current or between voltages or currents involving adjustment of a phase shifter to produce a predetermined phase difference, e.g. zero difference
• G01R 11/40 - Induction meters, e.g. Ferraris meters for polyphase operation
• G01R 31/52 - Testing for short-circuits, leakage current or ground faults

Abstract

The present invention relates to a method for determining an integrity factor through machine learning, and a device for performing such a method. The method for determining an integrity factor through machine learning may comprise the steps in which: a device status determination device determines an integrity feature on the basis of machine learning; the device state determination device generates an integrity plane on the basis of the integrity feature; the device state determination device receives target input data of a target device; the device state determination device determines an integrity factor corresponding to the target input data on the basis of the integrity plane; and the device status determination device determines the status of the target device on the basis of the integrity factor.

IPC Classes  ?

• G01R 31/62 - Testing of transformers
• G01R 31/28 - Testing of electronic circuits, e.g. by signal tracer
• G06N 20/00 - Machine learning

Abstract

The present invention relates to a method for diagnosing a gas insulated switchgear (GIS) failure, and to a device for performing the method. The method for diagnosing a GIS failure may comprise: a step in which a noise classification model classifies a noise signal and a failure signal; and a step in which a failure mode classification model classifies a failure signal type on the basis of the failure signal.

IPC Classes  ?

• G05B 23/02 - Electric testing or monitoring
• G06N 20/00 - Machine learning

Abstract

A method of predicting a transformer state in consideration of whether oil filtering is performed includes receiving, by a transformer state prediction apparatus, transformer data of a transformer, determining, by the transformer state prediction apparatus, whether an oil of the transformer is filtered on the basis of the transformer data, and predicting, by the transformer state prediction apparatus, a state of the transformer on the basis of different prediction models depending on whether the oil is filtered.

IPC Classes  ?

• G06N 20/00 - Machine learning
• B01D 19/00 - Degasification of liquids

Abstract

A method for determining a transformer state on the basis of correction of dissolved gas data includes receiving, by a transformer state determination apparatus, dissolved gas data, determining, by the transformer state determination apparatus, a measurement error value which is a correction target in the dissolved gas data, correcting, by the transformer state determination apparatus, the measurement error value, and determining, by the transformer state determination apparatus, a transformer state on the basis of the dissolved gas data including the corrected measurement error value.

IPC Classes  ?

• H02H 9/00 - Emergency protective circuit arrangements for limiting excess current or voltage without disconnection
• H01F 27/40 - Structural association with built-in electric component, e.g. fuse
• H02H 5/08 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal non-electric working conditions with or without subsequent reconnection responsive to abnormal fluid pressure, liquid level or liquid displacement, e.g. Buchholz relays

Goods & Services

Remote measuring controllers for industrial automation instruments; telemetric apparatus and instruments; telemetry apparatus; remote control telemetering machines and apparatus; remote control telemetering apparatus; object detecting sensors; motion detecting sensors; microwave sensing apparatus; heat sensors; photoelectric sensors; magnetic object detector; X-ray detectors; microwave detectors [radar]; apparatus for measuring, monitoring and analyzing mechanical equipment; sensors for detecting abnormal signals from mechanical equipment; computer software for detecting abnormal signals from mechanical equipment; apparatus for data collection; data collecting apparatus for industrial automatic instrument; data processing software; data synchronization programs.

Goods & Services

Electronic sensors for detecting objects; electronic sensors for motion detection; electronic heat sensors for detecting heat; microwave detectors, namely, radar detectors; electronic apparatus for measuring, monitoring and analyzing mechanical equipment; electronic sensors for detecting abnormal signals from mechanical equipment

Goods & Services

Microwave sensing apparatus, namely, microwave antennas; magnetic object detector; computer software for detecting abnormal signals from mechanical equipment

Abstract

The disclosure pertains to a method of displaying an abnormal status in a plant operation monitoring system. The method of displaying the abnormal status includes the steps of: receiving information of operational states from a sensor mounted on devices, machines and facilities constituting an industrial plant system; checking any abnormal signal in the operational states, logically grouping parts influencing on operational values when the abnormal signal is generated, and displaying the parts on a piping & instrument drawing (P&ID) on a monitor; and tracing the abnormal signal in a reverse direction of a system flow, searching out the device which causes the abnormal state, and displaying the abnormal device on the piping & instrument drawing.

IPC Classes  ?

• G05B 23/02 - Electric testing or monitoring
• G05B 19/4063 - Monitoring general control system

Abstract

An electronic card module which includes the function of storing information regarding the fabrication/maintenance/driving of a product. The electronic card module has a main function circuit unit configured by mounting various electronic components on a PCB substrate. The electronic card module is formed with the PCB module in one piece and includes an information provision unit which stores information including product fabrication information, maintenance information, and driving information, and which provides the information when a request is made from an external device.

IPC Classes  ?

• H05K 1/14 - Structural association of two or more printed circuits