Work

Hybrid Approach for Machine Anomaly Detection Across Diverse Operating Conditions: Combining Self-Supervised Learning With Vibration Statistics

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3573336

Authors: Seongjae Lee, Taehyoun Kim

Institution: University of Seoul

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: University of Seoul

OpenAlex ID: W4410738715

FWCI: 0.38

Cites: 44

Cited by: 1

Related to: 10