Trend process, About the trend process, About data handling – MTS Series 793 Application User Manual

Page 336: Trend process 336

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MTS MultiPurpose TestWare®

Trend Process

Data Acquisition Process Descriptions

336

Trend Process

About the Trend Process

The Trend process collects signal data and calculates five statistical trend values:
Minimum, Maximum, Mean, RMS, and Standard Deviation.

Periodically, the trend values are saved to disk, and sent to the Model 793.12
Trend Monitoring Application via a proprietary data exchange protocol.

With the Trend Monitoring application, you can monitor the trend data in a real-
time, graphical format.

For more information

For more information about trend monitoring, see

“Model 793.12 Trend

Monitoring Application”

on page 458.

About Data Handling

Data is acquired for each included signal (the channels with a check mark next to
their names). At the end of a pass, the acquired statistical values are stored to the
data file and transmitted to the Trend Monitoring application. If the Trend
Monitoring application is not running, a warning message will be written to the
MPT Specimen Log.

Limits that are changed by the Trend Monitoring application during the
procedure will be transferred back to the Trend process and used for the limit
check.

Note

The Trend Monitoring application is started automatically if you click
Reset on the MPT control panel after a new Specimen has been
selected.

Note

Smart Limits apply to the full calibrated range of the sensor, that is, from
the lower calibration value to the upper calibration value.

Smart Limits are calculated after the first complete pass. This means that limit
checking is effectively disabled until after the first pass has run to completion. If
you need limit checking during the first pass as well, use the Trend tab to type
absolute limit values and adjust the limits as soon as the Trend Monitoring
application shows the data for the first pass.

If a smart limit is based on the data value, and the data value is too small (<0.01%
of range), limits based on full scale will be used instead.

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