Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
- ISBN 978-3-7258-5461-5 (Hardback)
- ISBN 978-3-7258-5462-2 (PDF)
Print copies available soon
This is a Reprint of the Special Issue Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance that was published in
The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types.