公开(公告)号：US12130250B2

公开(公告)日：2024-10-29

申请号：US17918513

申请日：2021-03-22

Applicant: KYB CORPORATION

Inventor： Yuki Miyauchi ,  Shun Ohuchida

IPC: G01N27/06 ,  G01N33/28 ,  G05B23/02

CPC classification number: G01N27/06 ,  G01N33/28 ,  G05B23/0254 ,  G05B23/0283

Abstract: A technique involves outputting not only the condition of hydraulic oil but also information on failure prediction of equipment by processing in real time. Such a technique utilizes an oil condition sensor attached to the equipment, a parameter calculator that calculates the values of a plurality of parameters indicating the state of the hydraulic oil based on the sensor output of the oil condition sensor and correlation information between the sensor output and the values of a plurality of parameters indicating the state of the hydraulic oil, and failure prediction determiner that predicts equipment failures based on parameter values and identifies and outputs parameters that are inferred as the cause of the failure prediction, and outputs not only the condition of hydraulic oil but also information on failure prediction of the equipment by processing in real time.

公开(公告)号：US20230147470A1

公开(公告)日：2023-05-11

申请号：US17918513

申请日：2021-03-22

Applicant: KYB CORPORATION

Inventor： Yuki Miyauchi ,  Shun Ohuchida

IPC: G01N27/06 ,  G01N33/28 ,  G05B23/02

CPC classification number: G01N27/06 ,  G01N33/28 ,  G05B23/0254 ,  G05B23/0283

Abstract: A technique involves outputting not only the condition of hydraulic oil but also information on failure prediction of equipment by processing in real time. Such a technique utilizes an oil condition sensor attached to the equipment, a parameter calculator that calculates the values of a plurality of parameters indicating the state of the hydraulic oil based on the sensor output of the oil condition sensor and correlation information between the sensor output and the values of a plurality of parameters indicating the state of the hydraulic oil, and failure prediction determiner that predicts equipment failures based on parameter values and identifies and outputs parameters that are inferred as the cause of the failure prediction, and outputs not only the condition of hydraulic oil but also information on failure prediction of the equipment by processing in real time.