Temperature sensor data of an internal component of a large, industrial machine. The data contains three known anomalies. The first anomaly is a planned shutdown of the machine. The second anomaly is difficult to detect and directly led to the third anomaly, a catastrophic failure of the machine. The data consists of 22695 observations of machine temperature recorded at 5 minute intervals along with the date and time of the measurement. The data was obtained from the Numenta Anomaly Benchmark \insertCiteAHMAD2017134anomaly, which can be found at https://github.com/numenta/NAB.
A dataframe with 22695 rows and 2 columns. The first column contains the date and time of the temperature measurement. The second column contains the machine temperature.
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