Category: Fault Diagnosis

PRPD and PRPS record partial discharge pulses phase-resolved. What the patterns show, how source localization works, and what to specify in an online PD system.

Online partial discharge monitoring for transformers explained: what PD sensors measure, where UHF, HFCT, AE and RF sensors go, what to specify, and how PD complements DGA.

TDCG transformer screening sums six combustible gases to flag risk. Learn the IEEE C57.104 condition bands, what the total hides, and how online DGA closes the gap.

PD vs DGA is not a technology contest: partial discharge sees live electrical activity, DGA sees accumulated fault gases. How to choose and combine both for fleets.

DGA interpretation guide for transformer oil analysis: start with dissolved hydrogen, the earliest fault gas, then key gases, ratios, Duval and trends to protect your fleet.

The March 2026 Hsinchu substation fire shows why DGA matters: acetylene and hydrogen flags, and online monitoring that closes the sampling gap.

Machine learning is changing DGA fault diagnosis. We break down the research accuracy numbers from 42% to 76% and how AI should sit alongside IEC 60599 and IEEE C57.104.

DGA trend analysis: absolute ppm/day vs relative %/month gas generation rate, IEEE C57.104 Condition 1-4 intervals, and why continuous data beats lab sampling.

Key gas, Doernenburg, Rogers, IEC ratio, Duval triangle vs pentagon and ML fusion — their research-comparison accuracy and a practical multi-method workflow.

The Duval Triangle is the most widely used DGA interpretation method — but it is not the only one, and relying on a single diagnostic […]