As a data scientist working on sensor data of heating ventilating and air conditioning (HVAC) systems in buildings, we commonly apply anomaly detection statistical techniques or machine learning methods to detect and identify faults such as equipment failure or operational errors. Dealing with real-world sensor data has its own challenges.

One such use case is detecting faulty pumps used to facilitate the flow of chilled water to cool a building. …

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