Fault Detection, Diagnosis and Prognostics of Machines: Applications and Advances

Dear Colleagues,

Machines are widely used in many industrial applications, and their unexpected failures could lead to a temporary shutdown or disruption of the production process, thus resulting in economic losses. Therefore, it is of great significance to evaluate the overall health status of industrial machines as early as possible and in particular to detect, diagnose, and prognosticate developing faults on the sub-systems/components of machines. The development of effective and reliable machine fault detection, diagnostics, and prognostics tools has attracted extensive attention in academia and industry. The goal of this topic is to bring researchers and industrial practitioners together to share their research findings and present ideas that are relevant in the field of industrial machine faults detection, diagnosis, and prognosis.

Dr. Agusmian Partogi Ompusunggu
Prof. Dr. Eric Bechhoefer
Dr. Tegoeh Tjahjowidodo
Guest Editors

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