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Recent advancement in data science has opened up new opportunities to complement advanced sensing technologies for more effective and efficient extraction of information embedded in raw sensor data to enable intelligence operation and control of machines and processes,leading to the low-cost production of high quality products.Actionable information generated by data analytics has the potential to increase the accuracy and reliability in predictive modeling of equipment failure rates and remaining useful life,consequently improving the robustness in preventative maintenance scheduling.