machinetemp {anomaly}R Documentation

Machine temperature data.

Description

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 (Ahmad et al. 2017), which can be found at https://github.com/numenta/NAB.

Usage

data(machinetemp)

Format

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.

References

Ahmad S, Lavin A, Purdy S, Agha Z (2017). “Unsupervised real-time anomaly detection for streaming data.” Neurocomputing, 262, 134–147. ISSN 0925-2312, doi: 10.1016/j.neucom.2017.04.070, Online Real-Time Learning Strategies for Data Streams, https://www.sciencedirect.com/science/article/pii/S0925231217309864/.


[Package anomaly version 4.0.1 Index]