Dr. Bernd Frankenstein Profile

Dr. Bernd Frankenstein

Working Group Manager at Fraunhofer IKTS-MD

SPIE Involvement:

Author

Proceedings Article | 30 March 2012 Paper

Wireless system for structural health monitoring based on Lamb waves

U. Lieske, A. Dietrich, L. Schubert, B. Frankenstein

Proceedings Volume 8343, 83430B (2012) https://doi.org/10.1117/12.917306

KEYWORDS: Sensors, Structural health monitoring, Sensor networks, Transceivers, Analog electronics, Amplifiers, Ultrasonics, Actuators, Transducers, Microcontrollers

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Proceedings Article | 15 April 2011 Paper

Monitoring system for windmill rotorblades based on optical connections

L. Schubert, E. Schulze, B. Frankenstein, D. Fischer, B. Weihnacht, R. Rieske

Proceedings Volume 7982, 798210 (2011) https://doi.org/10.1117/12.888062

KEYWORDS: Sensors, Acoustic emission, Acoustics, Ultrasonics, Optical communications, Solar energy, Power supplies, Signal processing, Sensor networks, Wind turbine technology

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Proceedings Article | 9 April 2010 Paper

Ultrasonic inspection technique for NDE of fiber composite materials

Dieter Hentschel, Frank Schubert, Lars Schubert, Bernd Frankenstein

Proceedings Volume 7649, 76490Z (2010) https://doi.org/10.1117/12.848739

KEYWORDS: Transducers, Ultrasonics, Nondestructive evaluation, Structured optical fibers, Phased arrays, Manufacturing, Visualization, Inspection, Composites, Transmitters

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Proceedings Article | 7 April 2009 Paper

Monitoring system of wind turbine rotor blades

B. Frankenstein, L. Schubert, N. Meyendorf, H. Friedmann, C. Ebert

Proceedings Volume 7293, 72930X (2009) https://doi.org/10.1117/12.815464

KEYWORDS: Sensors, Acoustic emission, Ultrasonics, Ferroelectric materials, Modal analysis, Structural health monitoring, Signal processing, Digital signal processing, Fiber optics sensors, Wind turbine technology

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Proceedings Article | 7 April 2009 Paper

Low power sensor network for wireless condition monitoring

Ch. Richter, B. Frankenstein, L. Schubert, B. Weihnacht, H. Friedmann, C. Ebert

Proceedings Volume 7293, 72930J (2009) https://doi.org/10.1117/12.815463

KEYWORDS: Sensors, Sensor networks, Wind energy, Signal processing, Modal analysis, Bridges, Structural health monitoring, Amplifiers, Fiber optics sensors, Telecommunications

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Proceedings Article | 10 April 2008 Paper

Guided elastic waves and their impact interaction in CFRP structures characterized by 3D laser scanning vibrometry

L. Schubert, M. Barth, T. Klesse, B. Köhler, B. Frankenstein

Proceedings Volume 6935, 69350G (2008) https://doi.org/10.1117/12.777510

KEYWORDS: Wave propagation, Waveguides, Wave plates, 3D scanning, Vibrometry, Structural health monitoring, Calibration, Transducers, Diffraction, Nondestructive evaluation

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Proceedings Article | 11 April 2007 Paper

Guided wave based structural health monitoring of piping systems

Frank Schubert, Bernd Frankenstein, Klaus-Jochen Froehlich, Martin Kuettner

Proceedings Volume 6532, 65320I (2007) https://doi.org/10.1117/12.717909

KEYWORDS: Waveguides, Transducers, Structural health monitoring, Sensors, Wave propagation, Actuators, Nondestructive evaluation, Dispersion, Receivers, Wave plates

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Proceedings Article | 10 April 2007 Paper

Monitoring network for SHM in aircraft applications

B. Frankenstein, F. Schubert

Proceedings Volume 6530, 653014 (2007) https://doi.org/10.1117/12.718094

KEYWORDS: Sensors, Signal processing, Structural health monitoring, Digital signal processing, Transducers, Structured optical fibers, Acoustics, Data communications, Composites, Ferroelectric materials

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Proceedings Article | 9 May 2005 Paper

Hollow shaft integrated health monitoring system for railroad wheels

B. Frankenstein, D. Hentschel, E. Pridoehl, F. Schubert

Proceedings Volume 5770, (2005) https://doi.org/10.1117/12.602310

KEYWORDS: Signal processing, Digital signal processing, Sensors, Acoustics, Diagnostics, System integration, Filtering (signal processing), Electronics, Optical filters, Safety

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The economic efficiency and competitiveness of environment-friendly rail transportation depends on safety, availability and maintenance of single highly loaded structure components. Until now these components have been changed in fixed maintenance intervals irrespective of any usage related conditions. With the knowledge and evaluation of the component conditions, life cycle costs can be reduced by means of optimized maintenance and/or “fit for purpose” design. For example, rail-bound vehicle wheel sets are among the most highly stressed travelling gear components of the bogie. if such a component fails, a serious accident may occur. For this reason, a health monitoring system based on the interpretation of ultrasonic sound signatures has been developed. First, the ultrasonic waves generated by an artificial defect on the outer wheel tread of a railroad wheel towards an acoustic sensor, placed inside the hollow shaft of the railroad axis were simulated with a EFIT (Elastodynamic Finite Integration Technique). The results achieved proved that relevant signals can be found in a frequency range up to 300 kHz. Based on this a diagnostic unit was designed and built for application under rotation conditions, which consists of a piezo-electric sensor, primary electronics, an analog-to-digital converter, a digital signal processor, a trigger unit, and a telemetric transmitter. This diagnostic unit was integrated in the hollow shaft of a railroad wheel axis, a component of a special laboratory test rig. Algorithms which allow for the rotation-synchronized processing of acoustic signals were implemented into the rotating diagnostic unit. After successfully completing a campaign for this test rig, a second test was performed inside the wheel/railroad simulation test rig of the Deutsche Bahn AG under railroad-like conditions. The data generated inside the hollow shaft of the railroad wheel axis by the diagnostic unit were telemetrically transmitted to an industrial computer. The detection of artificial defects of different sizes is shown in correlation with theoretical assumptions.

Proceedings Article | 9 May 2005 Paper

Microsystem for signal processing applications

B. Frankenstein, K.-J. Froehlich, D. Hentschel, G. Reppe

Proceedings Volume 5770, (2005) https://doi.org/10.1117/12.602108

KEYWORDS: Digital signal processing, Signal processing, Ceramics, Sensors, Power supplies, Analog electronics, Amplifiers, Data communications, Microsystems, Standards development

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Proceedings Article | 9 May 2005 Paper

Statistical signal parameters of acoustic emission for process monitoring

Mareike Stephan, Klaus-Jochen Froehlich, Bernd Frankenstein, Dieter Hentschel

Proceedings Volume 5766, (2005) https://doi.org/10.1117/12.602068

KEYWORDS: Signal processing, Acoustic emission, Signal detection, Acoustics, Sensors, Abrasives, Materials processing, Semiconducting wafers, Silicon, Surface finishing

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Showing 5 of 11 publications

Conference Committee Involvement (1)

Health Monitoring of Structural and Biological Systems II

10 March 2008 | San Diego, California, United States

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