デジタル・ツイン・シミュレーション・データを利用した時系列データに基づく、大規模な産業用監視システム向けの半教師あり深層異常検出のための方法およびシステム

Title:

Document Type and Number:

Japanese Patent JP7069269

Kind Code:

B2

Abstract:

A computer-implemented method for detecting an anomalous operating status of a technical system with a training phase and a monitoring phase. The training phase obtains a first set of time-series values generated by a digital twin simulation of the technical system for a regular operating status of the technical system and a second set of time-series values measured by a plurality of sensors. The sensors are configured to monitor a set of operational parameters of the technical system and collect the second set of time-series values in an anomalous operating status of the technical system. The method then executes a training step by adjusting parameters of a machine learning model for detecting the regular operating status of the technical system and for discriminating data samples of the regular operating status from data samples of the anomalous operating status by processing triples of data samples, the each of the triples of data samples comprising a first data sample and a second data sample each from the first set of time-series values, and a third data sample from the second set of time-series values to generate a trained machine learning model. In a monitoring phase, the method obtains a set of multivariate time-series values measured by the plurality of sensors, calculates an anomaly score value adapted for determining whether the technical system is in an anomalous operating status based on the obtained set of multi-variate time-series values and the trained machine learning model, and then generates and outputs a signal including information on the determined anomalous operating status of the technical system.

More Like This:

WO/2023/166571	EVALUATION METHOD, EVALUATION PROGRAM, AND INFORMATION PROCESSING APPARATUS
WO/2020/090413	CLASSIFICATION DEVICE, CLASSIFICATION METHOD, AND CLASSIFICATION PROGRAM
WO/2020/058943	SYSTEM AND METHOD FOR COLLECTING, ANALYZING AND SHARING BIORHYTHM DATA AMONG USERS

Inventors:

Schmidt, Zebastian
Castellani, Andrea
Squartini, Stefano

Application Number:

JP2020171756A

Publication Date:

May 17, 2022

Filing Date:

October 12, 2020

Export Citation:

Click for automatic bibliography generation Help

Assignee:

Honda Research Institute Europe GmbH

International Classes:

G06N20/00; G06N3/04

Foreign References:

WO2019074195A1
WO2019093386A1

Attorney, Agent or Firm:

Patent Business Corporation Kushibuchi International Patent Office

Previous Patent: Photomultiplier tube and its manufacturing method

Next Patent: AGE-derived melanin production method and composition