A diagnosis method of malfunction of pumps that is based on machine-learning

The present invention relates to a machine learning-based pump failure diagnosis monitoring method that generates learning result information for fault diagnosis that can determine whether a diagnostic target pump is normal or abnormal and diagnoses the failure of the diagnostic target pump by using...

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Bibliographische Detailangaben
Hauptverfasser:	PARK SANG HYUCK, KIM KANG WHI, YANG SEONG MO, KIM DAE YEON, PARK SEUNG HWAN
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	BLASTING HEATING LIGHTING MEASURING MECHANICAL ENGINEERING NON-POSITIVE DISPLACEMENT PUMPS PHYSICS POSITIVE DISPLACEMENT MACHINES FOR LIQUIDS PUMPS FOR LIQUIDS OR ELASTIC FLUIDS TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR WEAPONS
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Beschreibung
Zusammenfassung:	The present invention relates to a machine learning-based pump failure diagnosis monitoring method that generates learning result information for fault diagnosis that can determine whether a diagnostic target pump is normal or abnormal and diagnoses the failure of the diagnostic target pump by using the generated learning result information, but accurately diagnoses even a specific failure part in a diagnostic target pump through the precise diagnosis of the diagnostic target pump using various sensors. 본 발명은 펌프의 정상, 비정상을 판단할 수 있는 고장 진단용 학습결과 정보를 생성한 후 생성된 학습결과 정보를 이용하여 진단 대상 펌프의 고장을 진단하되, 다양한 센서들을 이용하여 진단 대상 펌프를 정밀하게 진단하는 것을 통해 진단 대상 펌프의 특정 고장 부위까지 정확하게 진단하는 발명에 관한 것이다.