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Trends and Prospects of Machinery Diagnostic Technologies Utilizing AI

Year: 2025

Type: article

Source: The Journal of the Institute of Electrical Engineers of Japan

DOI: 10.1541/ieejjournal.145.576

Author: Ho JINYAMA

Institution: Mie University

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: W4414639765

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