Assessing conditions of industrial equipment and processes

US12367417B2 · kind B2 · utility

Assignee

• ABB Schweiz AG · CH

Inventors

• Subanatarajan Subbiah · Neulußheim, DE
• Benjamin Kloepper · Mannheim, DE

Key dates

• Filing date: Jul 7, 2020
• Grant date: Jul 22, 2025
• Expiry date: Dec 25, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/33331
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A method for training a machine-learning model to assess at least one condition of industrial equipment, and/or at least one condition of a process running in an industrial plant, based on measurement data gathered by a plurality of sensors, includes: obtaining a plurality of records of measurement data that correspond to a variety of operating situations and a variety of conditions; obtaining, for each record of measurement data, a label that represents a condition in the operating situation characterized by the record of measurement data; and determining a plausibility of at least one record of measurement data, and/or a plausibility of at least one label, based at least in part on a comparison with at least one other record of measurement data, with at least one other label, and/or with additional information about the industrial equipment, and/or about the industrial plant where the industrial equipment resides, and/or about the process.