公开(公告)号：US11796993B2

公开(公告)日：2023-10-24

申请号：US17371404

申请日：2021-07-09

Applicant: Yokogawa Electric Corporation

Inventor： Aparnadevi Minisankar ,  Kaushik Ghosh ,  Gokula Krishnan Sivaprakasam

IPC: G05B23/02 ,  G06N20/00

CPC classification number: G05B23/0283 ,  G05B23/0281 ,  G06N20/00

Abstract: Methods, systems, and devices for equipment monitoring and fault prediction are described, including: receiving measurement data associated with a set of equipment; providing at least a portion of the measurement data to a machine learning network; receiving an output from the machine learning network in response to the machine learning network processing at least the portion of the measurement data; and outputting a notification based on the output from the machine learning network, the notification including an indication of the predicted status. The processing of at least the portion of the measurement data may be based on a predictive model associated with the set of equipment. The output from the machine learning network may include a predicted status of the set of equipment.

公开(公告)号：US11887465B2

公开(公告)日：2024-01-30

申请号：US17480407

申请日：2021-09-21

Applicant: Yokogawa Electric Corporation

Inventor： Kaushik Ghosh ,  Gokula Krishnan Sivaprakasam

IPC: G08B29/18 ,  G05B23/02

CPC classification number: G08B29/185 ,  G05B23/027 ,  G05B23/0227

Abstract: A method comprises identifying an alarm event pattern within a log of alarm events that occur within a process control system, determining that a current alarm event within the process control system belongs to the alarm event pattern, determining one or more actions for resolving the current alarm event based on the alarm event pattern, and implementing the one or more actions to resolve the current alarm event.