Work

Monitoring the Technical Condition of Energy-intensive Tractors Using Artificial Intelligence Algorithms

Year: 2024

Type: article

Abstract: The analysis is performed and proposals are presented to increase the level of technical maintenance, improve the testability and the crucial for functioning of the whole equipment parts of domestic energy-intensive machinery using artificial intelligence algorithms and new diagnostic devices. The growing role of artificial intelligence in diagnostics of the condition of agricultural equipment, accumulating huge data banks and processing large arrays of data in agriculture is considered.

Source: Machinery and Equipment for Rural Area

DOI: 10.33267/2072-9642-2024-9-2-5

Authors: VIM, E.V. Pestryakov, Yu.V. Kataev, VIM, M.N. Kostomakhin, VIM, N.A. Petrishchev, 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: diamond

OpenAlex ID: W4404977378

FWCI: 0.16

Cites:

Cited by: 1

Related to: 10