Deep Learning-based Cross-domain Tacholess Instantaneous Speed Estimation of Rotating Machinery with a Selective Multi-order Frequency Module > International | 서울대학교 초자율화 인공지능 연구실

Publication

Hyperautonomy Artificial Intelligence Lab

2025 Deep Learning-based Cross-domain Tacholess Instantaneous Speed Estimation of Rotating Machinery with a Selective Multi-order Frequency Module

본문

Journal: IEEE Sensors Journal

Author: Minjung Kim, Yong Chae Kim, Jinoh Yoo, Jongmin Park, Taehyung Kim, Jong Moon Ha*, and Byeng D. Youn*

Date: Accepted

Citation Index: SCIE (IF: 4.5, Rank: 19.6%)

Year: 2025

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이전글Battery Maximum Available Capacity Estimation in Partial Charge Curve with Current Charge State Invariant Feature 25.06.22
다음글Multi-scale Signal Transformer with Signal Processing-Based Attention Interpretation for Fault Diagnosis of Rotating Machinery under Variable Speed Conditions 25.06.23