Detection of water quality failure events at treatment works using a hybrid two-stage method with CUSUM and random forest algorithms
Near-real-time event detection is crucial for water utilities to be able to detect failure events in their water treatment works (WTW) quickly and efficiently. This paper presents a new method for an automated, near-real-time recognition of failure events at WTWs by the application of combined stati...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
IWA Publishing
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/8880079e0fa541f9aede728543352a17 |
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