Method and system for monitoring sensor data of rotating equipment

US10339784B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Felix Borutta · Oberpframmern, DE
• Thomas Hubauer · Garching bei München, DE
• Peer Kröger · Oberpframmern, DE

Key dates

• Filing date: Jun 15, 2017
• Grant date: Jul 2, 2019
• Expiry date: Jun 15, 2037

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P90/02
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A sensor data stream is provided consisting of feature vectors acquired by sensors of rotating equipment, similar feature vectors are aggregated in microclusters. For newly arriving feature vectors, a correlation distance measure between the new feature vector and each microcluster is calculated. If there is no microcluster in range, then a new microcluster is created. Otherwise, the feature vector is assigned to the best fitting microcluster, and the necessary statistical information is incorporated into the aggregation contained in the microcluster. In other words, similar feature vectors are aggregated in the same microclusters. The microclusters thus provide a generic summary structure that captures the necessary statistical information of the incorporated feature vectors. At the same time, the loss of accuracy is quite small. Clustering the sensor data stream with microclusters has the benefit that the computational complexity can be reduced significantly.