Product data
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Machinery Health
™
Management October 2014
By trending the values in AMS Machinery Manager and
comparing them to appropriate alert levels, it is possible to
set up a system of intelligent alerts that not only inform you
when the machine condition is deteriorating, but also provide
information about the underlying cause of the problem.
The gure illustrates how vibration data can be used to
detect and diagnose a developing fault. Based on the increase in
overall vibration (black line), an alert would ag the machine as
having a potential fault – but with no indication at all about the
nature or severity of the fault.
The trend of the three energy bands shows that the readings
for rotor vibration (green) and rotor harmonics (blue) are stable,
while the readings for high frequency vibration (red) have
increased sharply. This would trigger a special alert for
the rotating equipment specialist in AMS Machinery Manager.
Examination of the thumbnail spectra (shown above the trend)
conrms that the fault is high frequency in nature. On-demand
acquisition of the PeakVue spectrum and waveform then
provides conclusive insight into the specic nature of the
fault as well as its severity. Using the advanced diagnostics
in the CSI 9420 and AMS Machinery Manager, maintenance
personnel can often address and resolve an issue without it
ever registering as an alert in the control room.
The trend of overall vibration suggests that machine health is
deteriorating but without any indication as to the root cause. The
trend of the high frequency energy band provides further insight,
which can be conrmed by examining the thumbnail spectra.