Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics

This Reprint focuses on the advancements and applications of intelligent sensors for condition monitoring, diagnosis, and prognostics. The original research papers that showcase the latest sensor technologies and intelligent algorithms aimed at enhancing real-time monitoring, precise diagnostics, and accurate prognosis of machine health. Contributions focus on the exploration of the integration of advanced analytics, including AI and ML, with intelligent sensors to improve the accuracy and speed of data processing and decision making. We are particularly interested in papers that demonstrate how intelligent sensors enable real-time decision making and improve operational policies. Research addressing both electro-mechanical systems (e.g., rotational machinery) and emerging systems (e.g., renewable energy) is encouraged. Moreover, papers that showcase the application of intelligent sensors in diverse industries and contexts, including but not limited to manufacturing, transportation, healthcare, and environmental monitoring, are also encouraged.

Overall, we bring together a collection of high-quality research papers that exhibit the latest advancements and applications of intelligent sensors in condition monitoring, diagnosis, and prognostics, and their potential to revolutionize various industries and improve our daily lives.