Sensing and Analyzing Partial Discharge Phenomenology in Electrical Asset Components Supplied by Distorted AC Waveform
Gian Carlo Montanari, Sukesh Babu Myneni, Zhaowen Chen, Muhammad Shafiq
TL;DR
This paper studies how distorted AC waveforms affect partial discharge patterns in electrical components and how AI can adapt to identify harmful defects.
Contribution
The paper introduces insights into PD behavior under AC distorted waveforms and adapts AI algorithms for defect identification.
Findings
PD patterns change significantly under harmonic and notched AC waveforms compared to sinusoidal AC.
AI algorithms can be adapted to identify PD types and their harmfulness under distorted waveforms.
Voltage harmonics and notches impact PD typology identification based on pattern-based physics.
Abstract
Power electronic devices for AC/DC and AC/AC conversion are, nowadays, widely distributed in electrified transportation and industrial applications, which can determine significant deviation in supply voltage waveform from the AC sinusoidal and promote insulation extrinsic aging mechanisms as partial discharges (PDs). PDs are one of the most harmful processes as they are able to cause accelerated extrinsic aging of electrical insulation systems and are the cause of premature failure in electrical asset components. PD phenomenology under pulse width modulated (PWM) voltage waveforms has been dealt with in recent years, also through some IEC/IEEE standards, but less work has been performed on PD harmfulness under AC distorted waveforms containing voltage harmonics and notches. On the other hand, these voltage waveforms can often be present in electrical assets containing conventional…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHigh voltage insulation and dielectric phenomena · Electrical Fault Detection and Protection · Power Transformer Diagnostics and Insulation