Somat eDAQlite, User Manual

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Somat eDAQ
lite
7.5.4 Anomaly Detect
The Anomaly Detect channel generates an output marking possible anomalies in
transducer or computed channel data flow. The eDAQ
lite continuously tracks the
selected parameters in the analysis window of a user-defined size and outputs a
status byte for each window. Each bit in the status byte corresponds to a particular
anomaly detection routine. Use with a Bitmap Trigger computed channel to generate
triggers based on the anomaly detection. For more information on the Bitmap Trigger
computed channel, see
“Bitmap Trigger” on page 148 .
The units parameter is always logic and the full-scale min is fixed at zero. The full-scale
max is the integer value of the largest possible output byte. For example, if using the
kurtosis and drift detection routines, the highest active bitmap is binary 00001010,
which equals ten.
Input Channel
The input channel data type must be 32-bit float.
Output Data Type
The output channel data type is 8-bit unsigned (bitmap). The only computed channel
or DataMode that accepts a bitmap input is the Bitmap Trigger computed channel.
Window Samples
Specify the number of input samples to to generate one output sample. This sets the
analysis window size and associated output sample rate. The factor can be any
positive integer greater than one.
Flat Line Detect
Select the flat line detect routine to enable flat line detection. If the difference between
the maximum and minimum data samples in the analysis window is less than the
specified range gate, bit 1 of the output byte is set to 1.
Trigger Mode Description
When TRUE Reset when the trigger channel is TRUE.
On FALSE-TRUE edge Reset when the trigger transitions from FALSE to TRUE.
On TRUE-FALSE edge Reset on the sample after the trigger channel transitions from
TRUE to FALSE.
Bit Routine Description
Bit 1 Flat line Determine if the data is nearly constant over a user-defined time
period.
Bit 2 Drift Determine if the data mean drifts from the start of the test run.
Bit 3 Limit Determine if the data exceeds user-defined maximum or minimum
limits.
Bit 4 Kurtosis Detection determine if the data exceeds the user-defined kurtosis
coefficient limit.
Bits 5 through 8 are reserved for future expansion.
HBM: public