Self-Configuring System for Real-Time Health Monitoring of Manufacturing Equipment
AssigneeSap SE
InventorsZbigniew Jerzak, Yuanzhen Ji
Life of this patent
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Abstract
Data is received that comprises at least one data stream derived from each of a plurality of sensors that each characterize one or more attributes of equipment components. Thereafter, using the received data and a density-based clustering algorithm that produces micro-clusters for each pair of sensors, correlated sensors having component correlations above a pre-defined threshold are identified. It can then be determined that data from two or more correlated sensors triggers at least one alert event. Subsequently, data is provided that characterizes the at least one alert event. Related apparatus, systems, techniques and articles are also described.
Claims20
A method comprising:
- receiving data comprising at least one data stream derived from each of a plurality of sensors that each characterize one or more attributes of equipment components;
- identifying, using the received data and a density-based clustering algorithm that produces micro-clusters for each pair of sensors, correlated sensors having component correlations above a pre-defined threshold;
- determining that data from two or more correlated sensors triggers at least one alert event;
- and
- providing data characterizing the at least one alert event.
A non-transitory computer program product storing instructions, which when executed by at least one data processor of at least one computing system, result in operations comprising:
- receiving data comprising at least one data stream derived from each of a plurality of sensors that each characterize one or more attributes of equipment components;
- identifying, using the received data and a density-based clustering algorithm that produces micro-clusters for each pair of sensors, correlated sensors having component correlations above a pre-defined threshold;
- determining that data from two or more correlated sensors triggers at least one alert event;
- and
- providing data characterizing the at least one alert event.
A system comprising:
- at least one data processor;
- and
- memory storing instructions, which when executed by the at least one data processor of at least one computing system, cause the at least one data processor to perform operations comprising:
- receiving data comprising at least one data stream derived from each of a plurality of sensors that each characterize one or more attributes of equipment components;
- identifying, using the received data and a density-based clustering algorithm that produces micro-clusters for each pair of sensors, correlated sensors having component correlations above a pre-defined threshold;
- determining that data from two or more correlated sensors triggers at least one alert event;
- and
- providing data characterizing the at least one alert event.
Dependencies are inferred from the claim text.