公开(公告)号：US20240103510A1

公开(公告)日：2024-03-28

申请号：US18271986

申请日：2022-01-13

Applicant: CALIFORNIA INSTITUTE OF TECHNOLOGY ,  CHEVRON U.S.A. Inc.

Inventor： Virisha Timmaraju ,  Eric Junkins ,  Valentinos Constantinou ,  Asitang Mishra ,  Sakthivel Kandasamy

IPC: G05B23/02

CPC classification number: G05B23/027 ,  G05B23/0275

Abstract: Relationships between alarms are modeled using a graph to identify root cause of a sequence of alarms (an alarm flood). The nodes of the graph represent different alarms, and the edges between the nodes are scored using pairwise analysis of when the alarms occurred. The graph is divided into multiple subgraphs representing alarm clusters. Root cause analysis of the sequence of alarms is performed by generating and simplifying directed graphs for events within the alarm clusters.

公开(公告)号：US20200226325A1

公开(公告)日：2020-07-16

申请号：US16740066

申请日：2020-01-10

Applicant: Chevron U.S.A. Inc. ,  CALIFORNIA INSTITUTE OF TECHNOLOGY

Inventor： Asitang Mishra ,  Shuxing Cheng ,  Annie Didier ,  Chris Mattmann ,  Hamsa Shwetha Venkataram ,  Grant Lee ,  Wayne Moses Burke ,  Vishal Lall

IPC: G06F40/295 ,  G06N20/00 ,  G06F40/284 ,  G06F40/205

Abstract: A computer-implemented, machine learning-based method of converting an unstructured technical report into a structured technical report includes obtaining an unstructured technical report, tokenizing the unstructured technical report into an n-gram array, identifying and filtering non-interesting n-grams from the first n-gram array based on common language usage of the non-interesting n-grams and a determination that the non-interesting n-grams do not appear on a confirmed technical entity database, generating and displaying a technical entity candidate list from the filtered n-gram array, displaying, obtaining, from a pattern matching model and/or a graphical user interface, an indication that a technical entity candidate is a technical entity of interest, appending the technical entity of interest to the confirmed technical entity database, generating and displaying a structured technical report with the confirmed technical entities and corresponding technical entity value parameters, and iterating the process to refine the pattern matching model.

公开(公告)号：US11790170B2

公开(公告)日：2023-10-17

申请号：US16740066

申请日：2020-01-10

Applicant: Chevron U.S.A. Inc. ,  CALIFORNIA INSTITUTE OF TECHNOLOGY

Inventor： Asitang Mishra ,  Shuxing Cheng ,  Annie Didier ,  Chris Mattmann ,  Hamsa Shwetha Venkataram ,  Grant Lee ,  Wayne Moses Burke ,  Vishal Lall

IPC: G06F40/295 ,  G06N20/00 ,  G06F40/205 ,  G06F40/284 ,  G06F40/30

CPC classification number: G06F40/295 ,  G06F40/205 ,  G06F40/284 ,  G06N20/00 ,  G06F40/30

Abstract: A computer-implemented, machine learning-based method of converting an unstructured technical report into a structured technical report includes obtaining an unstructured technical report, tokenizing the unstructured technical report into an n-gram array, identifying and filtering non-interesting n-grams from the first n-gram array based on common language usage of the non-interesting n-grams and a determination that the non-interesting n-grams do not appear on a confirmed technical entity database, generating and displaying a technical entity candidate list from the filtered n-gram array, displaying, obtaining, from a pattern matching model and/or a graphical user interface, an indication that a technical entity candidate is a technical entity of interest, appending the technical entity of interest to the confirmed technical entity database, generating and displaying a structured technical report with the confirmed technical entities and corresponding technical entity value parameters, and iterating the process to refine the pattern matching model.