Anomaly Detection for Noisy Data with the Mahalanobis–Taguchi System
Purpose: Condition-based maintenance requires an accurate detection of unknown yet-to-have-occurred anomalies and the establishment of anomaly detection procedure for sensor data is urgently needed. Sensor data are noisy, and a conventional analysis cannot always be conducted appropriately. An anom...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Technical University of Kosice
2020-07-01
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| Series: | Kvalita Inovácia Prosperita |
| Subjects: | |
| Online Access: | https://www.qip-journal.eu/index.php/QIP/article/view/1441 |