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Table 1 Open

From: Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review

Dataset Name

Research object

Description

Airbus helicopter accelerometer [70]

Helicopter

Data were acquired from different accelerometers placed at different positions of the helicopter, including 1677 training sequences from normal flights and 594 sequences from normal and anomalous flights

Numenta anomaly benchmark [71]

Various objects

It is composed of over 50 labeled real-world and artificial time series data

les plus a novel scoring mechanism designed for real-time applications

SWaT [72]

CPS

Data were acquired from a water treatment testbed for research in the area of cyber security, and the data systematically generated from the testbed over 7 days under normal operation and 4 days with attack scenarios is provided