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Anomaly Detection and Prediction (ADAP) Package

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Anomaly type Type code Description Example in the literature and/or alternative terminology Importance ranking (with respect to time series visualization in this case study) Potential end-user and application
Impossible values A Values 6666 are highly impossible in compressor sensor data and consider as out of range value of the sensors. - Important, but it can be deleted easily using simple rule -
Constant values within the acceptable region for long time period B Constant values within the acceptable region for long time period (more than one day) - Important can be detected using rate of change -
Large sudden spike C The spikes are larger than the surrounding data points but less than 6666. Example one or two values much higher than previous or next values - At any point in the time series, used 3 times standard deviation as threshold -
Drift D Gradual change in values in positive to zero - High priority (Emergency shutdown, ESD) -
Sudden zero E Value suddenly shifts in values in positive to zero - High priority (Emergency shutdown, ESD) -

Table 1: Load current related anomaly types

Anomaly type Type code Description Example in the literature and/or alternative terminology Importance ranking (with respect to time series visualization in this case study) Potential end-user and application
Impossible values A Values 6666 are highly impossible in compressor sensor data and consider as out of range value of the sensors. - Important, but it can be deleted easily using simple rule -
Constant values within the acceptable region for long time period B Constant values within the acceptable region for long time period (more than one day) - Important can be detected using rate of change -
Large sudden spike C The spikes are larger than the surrounding data points but less than 6666. Example one or two values much higher than previous or next values - At any point in the time series, used 3 times standard deviation as threshold -
Drift D Gradual change in values in positive to zero - High priority (Emergency shutdown, ESD) -
Sudden zero E Value suddenly shifts in values in positive to zero - High priority (Emergency shutdown, ESD) -
Step up (sudden shift) F Increase the mean while keeping the variance constant - High priority (Emergency shutdown, ESD) -
Step down (sudden shift) G Decrease the mean while keeping the variance constant - Normal, indicate motor flips from OFF to ON -

Table 2: Suction pressure related anomaly types

Anomaly type Type code Description Example in the literature and/or alternative terminology Importance ranking (with respect to time series visualization in this case study) Potential end-user and application
Impossible values A Values 6666 are highly impossible in compressor sensor data and consider as out of range value of the sensors. - Important, but it can be deleted easily using simple rule -
Constant values within the acceptable region for long time period B Constant values within the acceptable region for long time period (more than one day) - Important can be detected using rate of change -
Large sudden spike C The spikes are larger than the surrounding data points but less than 6666. Example one or two values much higher than previous or next values - At any point in the time series, used 3 times standard deviation as threshold -
Drift D Gradual change in values in positive to zero - High priority (Emergency shutdown, ESD) -
Sudden zero E Value suddenly shifts in values in positive to zero - High priority (Emergency shutdown, ESD) -
Step up (sudden shift) F Increase the mean while keeping the variance constant - Normal, indicate motor flips from OFF to ON -
Step down (sudden shift) G Decrease the mean while keeping the variance constant - High priority (Emergency shutdown, ESD) -

Table 2: Discharge pressure related anomaly types

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