Work

High‐Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual‐Task LSTM With Attention Mechanism

Year: 2025

Type: article

Source: Quality and Reliability Engineering International

DOI: 10.1002/qre.3757

Authors: Ali Nawaz Sanjrani, Hong‐Zhong Huang, Sadiq Ali Shah, Attaullah Narejo, Kalsoom Bhagat, Bilawal Ali

Institutions: University of Electronic Science and Technology of China, Mehran University of Engineering and Technology, Mehran University of Engineering & Technology Shaheed Zulfiqar Ali Bhutto Campus, Khairpur Mir's

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Good health and well-being

Open Access status: closed

OpenAlex ID: W4408320646

FWCI: 1.176

Cites: 45

Cited by: 3

Related to: 10