Method and apparatus for automatic recognition of similarities between perturbations in a network

US10401818B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Denis Krompaß · Munich, DE
• Andreas Litzinger · Fürth, DE
• Sebnem Rusitschka · Birkenfeld, DE
• Volker Tresp · Munich, DE

Key dates

• Filing date: Nov 22, 2016
• Grant date: Sep 3, 2019
• Expiry date: Sep 7, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/2639
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method and apparatus for automatic recognition of similarities between perturbations in a network, the apparatus includes a memory unit for storing a first data array of multiple perturbation data snapshots each recorded in response to a perturbation observed in the network; a generation unit adapted to generate by machine learning a data model of perturbations trained on the first data array, wherein the trained data model provides a latent vector representation for each of the perturbations; a recording unit adapted to record a perturbation data snapshot if a perturbation is observed during operation of said network and adapted to provide a corresponding second data array for the recorded perturbation data snapshot; and a processing unit adapted to derive a latent vector representation for the observed perturbation from the second data array using the trained data model of perturbations.