Environment adaptive deep reinforcement learning for intelligent fault diagnosis

JOURNAL ARTICLE

Year: 2025 Journal: Engineering Applications of Artificial Intelligence Vol: 151 Pages: 110783-110783 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2025.110783

Keywords:

Computer science Reinforcement learning Artificial intelligence Fault (geology) Deep learning Machine learning

Metrics

Cited By

22.30

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering