Home ›
Entities
› academia
› Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
Research article (IEEE Transactions on Dielectrics and Electrical Insulation, 2020) · cited 236× · AI/ML
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
Summary
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review is a scholarly article[1].
Key Facts
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review. Retrieved May 24, 2026, from https://4ort.xyz/entity/condition-monitoring-based-on-partial-discharge-diagnostics-using-machine-learning-methods-a-comprehensive-state-of-the-
MLA“Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/condition-monitoring-based-on-partial-discharge-diagnostics-using-machine-learning-methods-a-comprehensive-state-of-the-.
BibTeX@misc{4ortxyz_condition-monitoring-based-on-partial-discharge-diagnostics-using-machine-learning-methods-a-comprehensive-state-of-the-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review}}, year = {2026}, url = {https://4ort.xyz/entity/condition-monitoring-based-on-partial-discharge-diagnostics-using-machine-learning-methods-a-comprehensive-state-of-the-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review — https://4ort.xyz/entity/condition-monitoring-based-on-partial-discharge-diagnostics-using-machine-learning-methods-a-comprehensive-state-of-the- (retrieved 2026-05-24)