As a key part of construction machinery, the hydraulic system is widely used in industrial
fields. Due to its complexity and high integration, the fault diagnosis of hydraulic systems has …

Thanks to the pervasive deployment of sensors in Industry 4.0, data-driven methods are
recently playing an important role in the fault diagnosis and prognosis of industrial systems …

The integration of artificial intelligence in mechanical fault detection and diagnosis (FDD)
helps to increase reliability, reduce costs, and improve the overall performance of …

The timely detection and diagnosis of faults are crucial for maintaining the safety and
reliability of industrial systems, as they help prevent severe damage and unexpected …

For complex systems, a fault of one or several components does not necessarily lead to a
failure of the system, but if the failed components are not immediately replaced, they may …

Condition monitoring and fault classification of engineering systems is a complex problem
under the Prognostics and Health Management (PHM) heading. Multi-sensor data collected …

Анотація Підвищення технічної складності гідравлічних систем сучасних
сільськогосподарських машин обумовлює низький рівень їх ремонтопридатності в …