arbiter
JournalsAccount

Fault Diagnosis of Hybrid Power Unit Based on Redundant Monitoring and Data Fusion

Xiao Yuan Zhang et al.

International Journal of Automotive Technology2026https://doi.org/10.1007/s12239-026-00457-3article
ABDC B
Weight
0.50

Abstract

No abstract available.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1007/s12239-026-00457-3

Or copy a formatted citation

@article{xiao2026,
  title        = {{Fault Diagnosis of Hybrid Power Unit Based on Redundant Monitoring and Data Fusion}},
  author       = {Xiao Yuan Zhang et al.},
  journal      = {International Journal of Automotive Technology},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s12239-026-00457-3},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Fault Diagnosis of Hybrid Power Unit Based on Redundant Monitoring and Data Fusion

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.