Computer system and method for monitoring the technical state of industrial process systems

US10969774B2 · kind B2 · utility

Assignee

• ABB Schweiz AG · CH

Inventors

• Martin Hollender · Dossenheim, DE
• Benjamin Kloepper · Mannheim, DE
• Michael Lundh · Landskrona, SE
• Moncef Chioua · Heidelberg, DE

Key dates

• Filing date: Sep 20, 2019
• Grant date: Apr 6, 2021
• Expiry date: Sep 20, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/10
• WIPO field: Control
• WIPO sector: Instruments

Abstract

An anomaly detection module is configured to apply a plurality of machine learning models to received technical status data to detect one or more indicators of an abnormal technical status prevailing in the industrial process system. The plurality of machine learning models are trained on historic raw or pre-processed sensor data and the anomaly detection module configured to generate the anomaly alert based on the one or more indicators. The received technical status data is assigned to signal groups and the generated anomaly alert is a vector with each vector element representing a group anomaly indicator for the respective signal group. Each vector element is determined by applying a respective group specific machine learning model.