Work

Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images

Year: 2025

Type: article

Source: Journal of Engineering for Gas Turbines and Power

DOI: 10.1115/1.4069621

Authors: Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini

Institutions: University of Ferrara, Siemens (Italy)

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4413841987

FWCI: 1.568

Cites: 27

Cited by: 4

Related to: 10