Sensor system identifies cause of alarm in hard-to-access industrial plants

When sensors embedded within industrial plants trigger an alarm at night, maintenance teams have to respond immediately. But there's always the chance that this is just another false alarm. A new sensor system developed at Saarland University is able to analyse signal patterns and identify the exact cause of the disturbance. The team, led by Professor Dr. Uwe Hartmann of the Experimental Physics Department at Saarland University, has many years' experience in developing sensor systems and analysing signal patterns. When their system is used for the remote monitoring of perimeter fencing, it can precisely distinguish between those signals that are useful and those that are false alarms. The team has developed software that uses AI and machine learning techniques to enable their knowledge about signal pattern recognition to be applied not just to perimeter fencing systems, but also to a broad range of applications such as wind turbines and industrial process plants.

from Energy & Green Tech News - Energy Sciences News, Green Tech, Energy, Energy Science https://ift.tt/2KslV0m

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