Difference between revisions of "Anomaly Detection for Predictive Maintenance with Elvaco"
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|Summary=Anomaly detection in sensor data for predictive maintenance purpose, in collaboration with Elvaco | |Summary=Anomaly detection in sensor data for predictive maintenance purpose, in collaboration with Elvaco | ||
|TimeFrame=Fall 2020 | |TimeFrame=Fall 2020 | ||
| − | |Supervisor=Mohamed-Rafik Bouguelia | + | |Supervisor=Yuantao Fan, Mohamed-Rafik Bouguelia |
|Level=Master | |Level=Master | ||
|Status=Draft | |Status=Draft | ||
}} | }} | ||
Detect anomalies in sensor data for finding faults, e.g. sensor errors, water leakages in heating systems, in collaboration with Elvaco. | Detect anomalies in sensor data for finding faults, e.g. sensor errors, water leakages in heating systems, in collaboration with Elvaco. | ||
Revision as of 17:08, 26 October 2020
| Title | Anomaly Detection for Predictive Maintenance with Elvaco |
|---|---|
| Summary | Anomaly detection in sensor data for predictive maintenance purpose, in collaboration with Elvaco |
| Keywords | |
| TimeFrame | Fall 2020 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Yuantao Fan, Mohamed-Rafik Bouguelia |
| Level | Master |
| Status | Draft |
Detect anomalies in sensor data for finding faults, e.g. sensor errors, water leakages in heating systems, in collaboration with Elvaco.
