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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance

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 incorporati...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2026
Fag:
Diagnostics
Machinery monitoring
Prognostics
Preventative maintenance
Predictive maintenance
Condition-based maintenance
Fault diagnosis
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online adgang:ONIX_20260416T142754_9783725854615_7
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Summary: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.

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