Anomaly Detection Method for Mechanical Power Transmission System and Load Equipment Using Feature Parameters of Current Waveforms

Authors

Publication Details

Journal
The Journal of the Institute of Electrical Engineers of Japan
Published
2025-09-30
DOI
https://doi.org/10.1541/ieejjournal.145.584
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anomaly Detection Method for Mechanical Power Transmission System and Load Equipment Using Feature Parameters of Current Waveforms

Hiroshi Inoué, Makoto Kanemaru
The Journal of the Institute of Electrical Engineers of Japan
Engineering Diagnostics and Reliability
article

Anomaly Detection Method for Mechanical Power Transmission System and Load Equipment Using Feature Parameters of Current Waveforms

Hiroshi Inoué, Makoto Kanemaru
article en

Abstract

No abstract available for this paper.
The Journal of the Institute of Electrical Engineers of JapanVol. 145(10)
Openalex Percentile: Top 69%
Engineering Diagnostics and Reliability
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Anomaly Detection Method for Mechanical Power Transmission System and Load Equipment Using Feature Parameters of Current Waveforms — Hiroshi Inoué, Makoto Kanemaru · The Journal of the Institute of Electrical Engineers of Japan (2025) | TGRS Research Map | TGRS