1.

Record Nr.

UNINA9910743280003321

Titolo

Machine Health Monitoring and Fault Diagnosis Techniques

Pubbl/distr/stampa

MDPI - Multidisciplinary Digital Publishing Institute, 2023

Descrizione fisica

1 online resource (374 p.)

Soggetti

History of engineering and technology

Mechanical engineering and materials

Technology: general issues

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This reprint aims to bring together cutting-edge research on machine health monitoring and fault diagnosis techniques. Machine health monitoring and fault diagnosis are crucial aspects of maintaining the reliability and efficiency of industrial machinery. With the increasing complexity of modern machines, there is a growing need for advanced techniques that can quickly detect and diagnose potential faults before they become serious problems. Our goal is to provide a comprehensive overview of the state-of-the-art methods in machine health monitoring and fault diagnosis techniques and stimulate further research in this important field.