公开(公告)号：US20220206483A1

公开(公告)日：2022-06-30

申请号：US17606240

申请日：2020-04-20

Applicant: ABB Schweiz AG

Inventor： Shrikant Bhat ,  Rahul Kumar-Vij

IPC: G05B23/02

Abstract: The present invention relates to a method and a system for production accounting in process industries using Artificial Intelligence (AI). More particularly the present invention relates to fault detection in a plurality of measuring instruments and process equipment in a process plant. A plurality of measured signals from the measuring instruments is received by the process control system and noise is extracted from the plurality of measured signals. The extracted noise is correlated with a noise extracted from a plurality of reference signals using an AI based data analysis technique. Further, the process control system identifies deviations in the one or more parameters. The process control system detects the faults the plurality of measuring instruments or the process equipment using the correlated noises and the identified deviations of the one or more parameters.

公开(公告)号：US11467214B2

公开(公告)日：2022-10-11

申请号：US16670574

申请日：2019-10-31

Applicant: ABB Schweiz AG

Inventor： Jinendra Gugaliya ,  Rahul Kumar-Vij ,  Abhilash Pani ,  Arpit Sisodia ,  Nikhil Venkata Saisantosh Podila

IPC: G01R31/34 ,  G06N20/00 ,  G07C3/14

Abstract: One illustrative method comprises retrieving a set of drive information associated with an operation of an electric drive in a time period from a drive control unit and one or more sensor units. The method further includes obtaining reliability information associated with the electric drive from a server. The reliability information is computed in the server, with the set of drive information and a model corresponding to a drive type of the electric drive. The reliability information includes a probability of occurrence of the abnormal condition in a specified future time period. The method further includes, providing at least one condition indication regarding the abnormal condition to one of a human machine interface and a drive controller based on the probability of occurrence of the abnormal condition.

公开(公告)号：US11567487B2

公开(公告)日：2023-01-31

申请号：US16586877

申请日：2019-09-27

Applicant: ABB Schweiz AG

Inventor： Abhilash Pani ,  Jinendra Gugaliya ,  Rahul Kumar-Vij ,  Promodh Narayan Ravichandran

IPC: G05B23/02 ,  G06F11/00 ,  G01R31/34 ,  G07C3/14 ,  G07C3/00

Abstract: The present disclosure relates to diagnosing a fault in an electric drive of a process plant. The fault diagnosis method includes receiving fault data from an electric drive upon occurrence of the fault. The method further includes obtaining a fault code and a drive type associated with the electric drive from the fault data. In addition, the method comprises determining one or more drive parts to replace by comparing the fault code and the drive type with a mapped data for a plurality of drive types. The mapped data for each drive type includes a relation between a plurality of fault codes and a plurality of drive parts. The method further includes initiating a maintenance operation involving replacement of the one or more drive parts to address the fault.