Editorial for Special Issue "10th Anniversary of Machines—Feature Papers in Fault Diagnosis and Prognosis".

This document is an editorial for a special issue of the journal "Machines" on the topic of fault diagnosis and prognosis in machinery. The editorial highlights several research papers that propose different methodologies for diagnosing and predicting faults in rotating machinery, such as vibration-based machine learning, fault prognostic systems using long short-term memory, and structural balance discriminant projection algorithms. Other papers focus on fault diagnosis schemes for planetary gearboxes, improving bearing-fault diagnosis accuracy, and image-processing-based defect diagnosis techniques. The editorial concludes by expressing gratitude to the authors, reviewers, and publisher involved in the special issue. [Extracted from the article]