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- 2017 (4) (entfernen)
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Condition monitoring of industrial infrastructures using distributed fibre optic acoustic sensors
(2017)
We report on BAM's current research activities targeting the usability of distributed fibre optic acoustic sensing (DAS)for monitoring applications of industrial and civil infrastructures. Specifically, we present investigations on the use of DAS for condition monitoring of pipelines, of rollers in industrial conveyor belt systems and of submarine power cables, respectively.
Distributed fibre optic acoustic sensing for condition and structural health monitoring applications
(2017)
We present current and previous research projects and activities at BAM related to distributed fibre optic acoustic sensing (DAS) for condition monitoring purposes. Furthermore, we show the experimental capabilities of our DAS equipment and portray other BAM competences in fibre optic sensing that could be combined with DAS.
Distributed Fibre Optic Acoustic and Vibration Sensors for Industrial Monitoring Applications
(2017)
We investigate the usability of distributed fibre optic acoustic sensing (DAS) for innovative and advanced monitoring applications in industrial and civil infrastructure installations. In this paper, we report on our ongoing application-oriented research activities regarding the utilization of DAS based on coherent optical time-domain reflectometry (C-OTDR) for condition monitoring of a variety of infrastructures. Specifically, our research presented here aims at acoustic condition monitoring of and fault detection in pipelines and industrial piping systems, at acoustic condition monitoring of rollers in industrial conveyor belt installations, and at acoustic condition monitoring of and threat detection in extensive submarine power cables, respectively. Furthermore, we show a method to mitigate the effect of sensitivity fading of C-OTDR based DAS due to unstable environmental conditions via the modification of the sensor fibre. This can help to provide a continuous adequate sensor functionality for a number of different industrial monitoring applications.