CUTSFORTH’S ROTOR FLUX MONITORING SYSTEM:
Variances in the magnetic flux within a generator indicate deterioration of winding insulation. Whether a result of thermal wear, large variation on load, contamination, or other causes, the impact to efficient generation is significant. Imbalances within the rotor damage insulation, which in turn degrades the generator’s output capacity and increases vibrations, further damaging the insulation, which ultimately leads to a forced outage.
Automated Cycle Finding (two pole machines)
ANALYSES PERFORMED:
- High speed samples identify shorted turns and flux density zero cross (FDZC)
- Flux waveforms and generator loads are archived for historical trend analysis
- Waveforms are collected periodically
- Data sets are collected using three dimensions: Time (periodically), Alarms, and when FDZC crosses a coil
USER DEFINED THRESHOLDS for alarm levels:
- Alarms can be associated with multiple features
- Full data sets are collected on alarms
- Operating states can be configured using National Instruments InsightCM
requires a national instruments insightcm license
System Calculates:
- Maximum flux deviation
- The percent deviation associated with an FDZC
- A table calculates deviation and number of shorted turns per coil on FDZC
- These values are trended over time
- System plots FDZC for each coil over time
System Approximates shorted turns on accessible coils
CREATES A GENERATOR health trend:
- Critical for identification of worsening shorts indexed against time and changing load conditions
- Featured trends provide early indication conditions leading to rotor ground faults
- Manage the maintenance cycle through real – time measurements
EASY TO INSTALL AND DOES NOT REQUIRE AN OUTAGE
Below is an example of a rotor flux Monitoring screenshot used to discover and analyze faults within rotors.
