Work

Non-Intrusive Motorcycle Engine Fault Diagnosis Using LSTM Network and Spectrogram-Based Audio Analysis

Year: 2025

Type: conference-paper

Source: International Research Conference on Smart Computing and Systems Engineering (SCSE)

DOI: 10.1109/scse65633.2025.11030978

Authors: S. M. Mendis, G. M. K. B. Karunasena, D. H. R. J. Wimalasiri

Institution: Open University of Sri Lanka

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: W4411270927

FWCI: 2.289

Cites: 20

Cited by: 1

Related to: 10