Summary
In the current electricity sector, predictive maintenance has become an essential strategy for electric utilities, as planned shutdowns are increasingly difficult to schedule. In this context, condition-based maintenance supported by online monitoring systems allows maintenance activities to be optimized while reducing operational risks and unplanned outages.
Read more Read lessThis paper presents the experience with online partial discharge (PD) monitoring applied to the bulb-type generators of the Pimental Hydroelectric Power Plant. The PD monitoring system is permanently installed and integrated with the plant’s supervision and control system, enabling continuous assessment of stator winding insulation conditions during normal operation. Six directional capacitive couplers were installed per generator in accordance with international standards, allowing effective noise rejection and reliable PD measurements.
The analysis demonstrates how PD trend curves and PRPD patterns can support defect identification, maintenance decision-making, and fault prevention, highlighting the effectiveness of online PD monitoring as a predictive maintenance tool for large rotating machines.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | A1_10797_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Brazil |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
VILHENA Paulo - Eletrobras Eletronorte Brazil; NOBILING Erick - Qualitrol Brazil; ROCHA Johnny - Trassínio Consultoria Brazil
Keywords
Bulb generators, partial discharge, long-term monitoring, predictive maintenance
