Online Training - Partial Discharge

Partial Discharge (PD) monitoring is an effective on-line predictive maintenance test for motors and generators at 4160 volt and above, as well as other electrical distribution equipment. The benefits of online testing allow for equipment analysis and diagnostics during normal production. Corrective actions can be planned and implemented, resulting in reduced unscheduled downtime. An understanding of the theory related to PD, and the relationship to early detection of insulation deterioration is required to properly evaluate this predictive maintenance tool. This paper will present a theory to promote the understanding of PD technology, as well as various implementation and measurement techniques that have evolved in the industry. Data interpretation and corrective actions will be reviewed, in conjunction with comprehensive predictive maintenance practices that employ PD testing and analysis. OBJECTIVES

• To understand the basics of stator winding insulation systems and why they deteriorate
• To understand basic PD theory
• To understand how PD detection devices work
• To interpret the test data collected and relate the data to specific failure mechanism, to enable you to plan maintenance
• Learn new techniques for assessing the condition of assets
• Deliver cost effective asset life extension through non-invasive testing
• Work more safely by identifying assets at risk of failure
• Save money by identifying potential failures before they happen
• Enhance your companies asset management strategy

OUTLINE MATERI

1. Introduction to Partial Discharge and Diagnostics for High Voltage Equipment
2. Background of Partial Discharge
3. Introduction
4. Insulation System Components
5. Electrical Machines Winding Failure Mechanisms
6. PD Theory
7. Capacitive Model
8. Electric Stress Model
9. Influence of Space Charge
10. PD Characteristics
11. Interpreting Test Results
12. Overview of Process
13. Data Presentation
14. Trend Analysis
15. Magnitude Analysis
16. PolarityPredominance
17. Load Effect
18. Temperature Effect
19. Non-classic PD pulses
20. Multiple Failure Mechanisms
21. PD Characteristics of Failure Mechanisms
22. Case Studies

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