Partial discharges are localized electrical discharges that do not completely bridge the insulation between conductors. What these micro-arcs can do in various parts of electrical insulation systems can differ widely, they occur inside material likely;
Inside insulation cavities
On dielectric surfaces
Along sharp edges
Parallel to insulation layers
Even small PD events can lead to long-term degradation of insulation. That’s why early detection of PD is critical for ensuring the reliability and safety of electrical systems.
Detecting PD prevents electrical insulation failure before it leads to costly outages or equipment damage. non-destructive partial discharge testing devices are engineered to:
Detect PD activity in real-time
Identify weak spots before failure
Help maintain electrical equipment health over time
IEC 60270 classifies PDs into two main categories:
Internal PDs: Occur within insulating materials
External PDs: Occur on the surface of insulators
PDs can also behave as:
Continuous discharges
Intermittent events
Partial discharges can result from multiple physical and design-related factors:
Aged or contaminated insulation
Flawed insulation geometry or design
High electric field stress
Manufacturing imperfections
Based on these information we can have devices that support several PD detection techniques, optimized for different test environments:
For complying fully with IEC 60270 we can incorporate two industry-standard test circuit options:
Uses a coupling capacitor (Ck) and measuring impedance (Zm)
Converts transient PD signals into voltage pulses
Best for on-site field applications
Suppresses common-mode noise
Enhances sensitivity
Preferred for lab and R&D settings
Partial discharge detection and monitoring systems are widely used in:
Power transformers
Gas-insulated and air-insulated switchgears
Cables, joints, and terminations
Rotating electrical machines (motors, generators)
None
روشهای نوین در پایش تخلیه جزئی: تلفیق تحلیل زمانی-فرکانسی و الگوریتمهای آماری مطالعه حاضر چهارچوبی برای ادغام تکنیکهای کلاسیک (نمودارهای فاز-بار) با روشهای مدرن (پردازش سیگنال غیرخطی و یادگیری ماشین) را با تمرکز بر کالیبراسیون سیستمهای اندازهگیری PD کاهش نویز با فیلترهای تطبیقی طبقهبندی خودکار نقصها ارائه میدهد.
ادامه مطلبPartial Discharge, PD Measurement, q(u) plot, q(t) plot, HFCT, Oscilloscope, Statistical Fingerprint, 3CFRD are all caught up in this article as a starter package.
ادامه مطلب