Novel Approaches for Fault Diagnostics of Machine Elements

Dear Colleagues,

Faults of machine elements are considered a major root cause in all technical equipment, causing considerable economic damage. The reduction of unexpected and unnecessary maintenance intervals is one of the major opportunities to improve productivity or profitability. Hence, extensive research has been decidated to the development of new methods to detect faults earlier, preferably before the consecutive breakdown of technical systems. However, in most cases, fault diagnosis of machine elements (the backbone of technical systems) is restricted to conventional vibration analysis in lower frequency bands, which often requires a significant fault to detect changes in the characteristic sound and vibration finger print of a machine.

The target of this Special Issue is to compile a comprehensive overview of contemporary and novel approaches to fault diagnostic of machine elements. The focus is on non-destructive measuring, evaluation, and signal processing techniques. In addition, the approaches must, at least, be verified in typical machine element applications. The algorithms need to be validated in experiments to provide results superior to the current state of research.

Prof. Dr. Eckhard Kirchner
Prof. Dr. Tobias Melz
Prof. Dr. Uwe Klingauf
Dr. Sven Herold
Guest Editors

Florian Michael Becker-Dombrowsky
Guest Editor Assistant

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