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A Deep Learning Framework Based on Novel Hierarchical-LSTM Model for Enhanced Machinery Prognostics

Year: 2024

Type: conference-paper

DOI: 10.1109/ic-ftai62324.2024.10950021

Authors: Ahmed Ayman, Omneya Attallah, Ahmed Onsy, Hadley Brooks, Iman Morsi

Institutions: University of Lancashire, Arab Academy for Science, Technology, and Maritime Transport

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

OpenAlex ID: W4409427745

FWCI:

Cites: 18

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Related to: 10