Estimation of current and future machine states

US12141707B2 · kind B2 · utility

Assignee

• ABB Schweiz AG · CH

Inventors

• Andrew Cohen · Steamboat Springs, US
• Marcel Dix · Mannheim, DE

Key dates

• Filing date: Oct 31, 2023
• Grant date: Nov 12, 2024
• Expiry date: Oct 31, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/33139
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Disclosed is a method for generating a prediction model. The model can be used in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include extracting event features from event codes and structuring the event features into feature vectors. A first dimension of a first feature vector corresponds to a first event feature, and a second dimension of the first feature vector corresponds to a second event feature. The method can also include generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.