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- Artificial neural networks (1)
- Beschleunigungssensoren (1)
- Condition monitoring (1)
- Distributed acoustic sensing (1)
- Distributed acoustic sensing (DAS) (1)
- Distributed fiber optic sensing (1)
- Distributed vibrations sensing (DVS) (1)
- Faseroptische Sensorik (1)
- Fiber-optic sensing (1)
- Gas explosion (1)
Organisationseinheit der BAM
Distributed acoustic sensing (DAS) over tens of kilometers of fiber optic cables is well-suited for monitoring extended railway infrastructures. As DAS produces large, noisy datasets, it is important to optimize algorithms for precise tracking of train position, speed, and the number of train cars, The purpose of this study is to compare different data analysis strategies and the resulting parameter uncertainties. We present data of an ICE 4 train of the Deutsche Bahn AG, which was recorded with a commercial DAS system. We localize the train signal in the data either along the temporal or spatial direction, and a similar velocity standard deviation of less than 5 km/h for a train moving at 160 km/h is found for both analysis methods, The data can be further enhanced by peak finding as well as faster and more flexible neural network algorithms. Then, individual noise peaks due to bogie clusters become visible and individual train cars can be counted. From the time between bogie signals, the velocity can also be determined with a lower standard deviation of 0.8 km/h, The analysis methods presented here will help to establish routines for near real-time Train tracking and train integrity analysis.
Pipe integrity is a central concern regarding technical safety, availability, and environmental compliance of industrial plants and pipelines. A condition monitoring system that detects and localizes threats in pipes prior to occurrence of actual structural failure, e.g., leakages, especially needs to target transient events such as impacts on the pipe wall or pressure waves travelling through the medium. In the present work, it is shown that fiber-optic distributed acoustic sensing (DAS) in conjunction with a suitable application geometry of the optical fiber sensor allows to track propagating acoustic waves in the pipeline wall on a fast time-scale. Therefore, short impacts on the pipe may be localized with high fidelity. Moreover, different acoustic modes are identified, and their respective group velocities are in good agreement with theoretical predications. In another set of experiments modeling realistic damage scenarios, we demonstrate that pressure waves following explosions of different gas mixtures in pipes can be observed. Velocities are verified by local piezoelectric pressure transducers. Due to the fully distributed nature of the fiber-optic sensing system, it is possible to record accelerated motions in detail. Therefore, in addition to detection and localization of threatening events for infrastructure monitoring, DAS may provide a powerful tool to study the development of gas explosions in pipes, e.g., investigation of deflagration-to-detonation-transitions (DDT).
In der Prozessindustrie werden häufig gefährliche Stoffe eingesetzt, so dass auch kleinste Leckagen der medienführenden Anlagenteile zu Gefährdungen der Arbeitnehmer sowie zur Belastung der Umwelt führen können. Für die Gewährleistung einer dauerhaften Verfügbarkeit der Infrastruktur ist die frühzeitige Erkennung und Ortung von potentiell gefährlichen Veränderungen an den Wandungen von Rohrleitungen und Behältern (in Form von Rissen, Pittings und Ablagerungen) erforderlich. Am Beispiel von Rohrleitungen, sollen im Rahmen des Projekts AGIFAMOR an der Bundesanstalt für Materialforschung und -prüfung (BAM), im Sinne einer Machbarkeitsstudie die Verfahren der verteilten akustischen und faseroptischen Sensorik zur kontinuierlichen Überwachung und Detektion potentiell gefährlicher Veränderungen in Industrieanlagen erprobt und qualifiziert werden. Dabei sollen die Applikation der optischen Sensorfasern hinsichtlich der Signalübertragung auf den Sensor optimiert und die Erkennung der für dieses Anwendungsgebiet relevanten Schallsignaturen entwickelt werden. Mithilfe eines solchen Messsystems können mit geringem Aufwand ausgedehnte Strukturen, auch unter erschwerten Bedingungen (z.B. hohe Temperatur, Einfluss von Chemikalien) kontinuierlich überwacht werden.