Work

On-board device for assessing the technical condition of agricultural machinery using artificial intelligence

Year: 2026

Type: article

Source: Sel skohozjajstvennaja tehnika obsluzhivanie i remont (Agricultural Machinery Service and Repair)

DOI: 10.33920/sel-10-2610-05

Authors: N. A. Petrishchev, A. S. Sayapin, M. N. Kostomakhin, Ye. V. Pestryakov

Institution: Federal Scientific Agroengineering Center VIM

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Zero hunger

Open Access status: closed

OpenAlex ID: W7225004777

FWCI:

Cites: 4

Cited by:

Related to: 10