X20 system modules • Other functions • X20CM4810
X20 system User's Manual 3.10
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4.26.2.4.3 Practical applications of damage recognition
It is possible to gain good insight into the condition of a machine or system by measuring the parameters associ-
ated with errors. This parameter data is used by different algorithms in the module to even calculate the charac-
teristic values. This method of forming characteristic values occurs continually and automatically. It requires little
technical knowledge and is easy to use and implement. Damage and flawed conditions can therefore no longer
be overlooked.
Selecting suitable characteristic values and assessing them over a longer time frame is the basis for effective and
successful monitoring of a machine, a process known as "trending". It enables multiple aggregates to be monitored
with a relatively low need for technical measuring and a low demand on staff.
When integrating condition monitoring into automation systems, simply setting basic limits as a warning is not
enough. Instead, logical correlations with other parameters such as load or speed, or even the shape of the trend
curve, are also required.
Characteristic values are thus gathered and compared with norms or values taken from available experience over a
long period of time. This trend progression can be used to make a good assessment of the machine's condition. The
trend development of this factor indicates whether the condition is worsening, i.e. if damage is beginning to occur.
Recording the measurement values in a diagram shows the status of the characteristic values at the default warning
and alarm thresholds. If these thresholds are exceeded (and only then), oscillation diagnostics gives the cause of
the error so that appropriate maintenance measures can be taken.
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