Multi-Parameter Comprehensive Diagnosis Technology for Electrical Faults based on Artificial Intelligence Algorithms

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Publication Details

Journal
International Journal of Powertrains
Published
2025-10-02
DOI
https://doi.org/10.1504/ijpt.2026.10073863
Primary Topic
Geoscience and Mining Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Parameter Comprehensive Diagnosis Technology for Electrical Faults based on Artificial Intelligence Algorithms

Haiyan Yao, Lisong Dai, Qiang Guo, Feng Liu et al.
International Journal of Powertrains
Geoscience and Mining Technology
article

Multi-Parameter Comprehensive Diagnosis Technology for Electrical Faults based on Artificial Intelligence Algorithms

Haiyan Yao, Lisong Dai, Qiang Guo, Feng Liu, Pengcheng Shi, Xufeng Zhang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of PowertrainsVol. 15(1)
Openalex Percentile: Top 67%
Geoscience and Mining Technology
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