Recent work has identified that circumstances of equipment operation can radically change condition monitoring data. This contribution investigates the significance of considering circumstance monitoring on the diagnostic interpretation of such condition monitoring data. Electrical treeing partial discharge data have been subjected to a data mining investigation, providing a platform for classification of harmonic influenced partial discharge patterns. The Total Harmonic Distortion (THD) index was varied to a maximum of 40%. The results show progressive development for interpretation of condition monitoring data, improving the asset manager's holistic view of an asset's health.
|Publication status||Published - Jul 2010|
|Event||10th IEEE International Conference on Solid Dielectrics (ICSD) - Potsdam, Germany|
Duration: 4 Jul 2010 → 9 Jul 2010
|Conference||10th IEEE International Conference on Solid Dielectrics (ICSD)|
|Period||4/07/10 → 9/07/10|
- partial discharge activity
- solid dielectrics