- Patent Title: Method and system for monitoring sensor data of rotating equipment
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Application No.: US15623409Application Date: 2017-06-15
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Publication No.: US10339784B2Publication Date: 2019-07-02
- Inventor: Felix Borutta , Thomas Hubauer , Peer Kröger
- Applicant: SIEMENS AKTIENGESELLSCHAFT
- Applicant Address: DE
- Assignee: SIEMENS AKTIENGESELLSCHAFT
- Current Assignee: SIEMENS AKTIENGESELLSCHAFT
- Current Assignee Address: DE
- Agency: Schmeiser, Olsen & Watts, LLP
- Priority: EP16174902 20160617; EP16178412 20160707
- Main IPC: G08B21/00
- IPC: G08B21/00 ; G08B21/18 ; G07C3/02 ; G06K9/62 ; G05B23/02 ; G06N5/02 ; G06N20/00

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.
Public/Granted literature
- US20170365155A1 METHOD AND SYSTEM FOR MONITORING SENSOR DATA OF ROTATING EQUIPMENT Public/Granted day:2017-12-21
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