Alexander Lange, M. Sc.
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
phone: +49 511 762-5056
fax: +49 511 762-5333
office location: room 240

Alexander Lange studied civil engineering at Technische Universität Berlin with focus on structural dynamics. During his master thesis, he analyzed ambient vibration data of a multistorey building using a seismic interferometry algorithm in order to further evaluate possible applications of that method in the field of structural health monitoring. After his graduation in 2017, Alexander Lange started his career as a project engineer in Würzburg, Germany. There he mainly worked in the field of vibration protection, both for civil infrastructures and industrial machines.

Since October 2019, Mr. Lange is working as a research assistant at the Institut für Informationsverarbeitung focussing on the application of machine learning for structural health monitoring of civil infrastructures, namely bridges and rotorblades. Currently, he is working on two-stage algorithms for preliminary percussive sound extraction from continuous structure- / airborne sound signals and subsequent classification of damage events using machine learning. Due to very limited availability of damage-related data, his primary research interests lie in the fields of semi-supervised learning and generative modelling.  


Research interests:

  • Structural health monitoring / Damage detection / Acoustic Emission
  • Anomaly- / Novelty detection; Semi-supervised learning
  • Feature Selection, Representation learning
  • Generative Modelling
Show selected publications only
  • Ronghua Xu, Raul Enrique Beltran-Gutierrez, Max Käding, Alexander Lange, Steffen Marx, Jörn Ostermann
    Frequency dependent amplitude response of different couplant materials for mounting piezoelectric sensors
    NDT & E International, Elsevier, Vol. 141, January 2024
  • Reemt Hinrichs, Kevin Gerkens, Alexander Lange, Jörn Ostermann
    Blind Extraction of Guitar Effects Through Blind System Inversion and Neural Guitar Effect Modeling
    EURASIP Journal on Audio, Speech, and Music Processing, 2024
  • Alexander Lange, Ronghua Xu, Max Käding, Steffen Marx, Jörn Ostermann
    Matched Filter for Acoustic Emission Monitoring in Noisy Environments: Application to Wire Break Detection (accepted)
    acoustics, Special Issue: Advances in Industrial and Research Applications of Acoustic Emission Testing, MDPI, 2024
  • Ronghua Xu, Alexander Lange, Max Käding, Steffen Marx, Jörn Ostermann
    Energy spectral analysis of wire breaks in post-tensioned tendons for wind turbines
    19th EAWE PhD Seminar on Wind Energy, pp. 204-207, September 2023
  • Alexander Lange, Max Käding, Ronghua Xu, Steffen Marx, Jörn Ostermann
    Semi-supervised learning for acoustic emission monitoring of tendons in prestressed concrete bridges
    14th International Workshop on Structural Health Monitoring (IWSHM), Stanford, September 2023
  • Alexander Lange, Reemt Hinrichs, Jörn Ostermann
    Localized Damage Detection in Wind Turbine Rotor Blades using Airborne Acoustic Emissions
    9th Asia-Pacific Workshops on Structural Health Monitoring 2022 (APWSHM 2022), December 2022
  • Ronghua Xu, Max Käding, Alexander Lange, Jörn Ostermann, Steffen Marx
    Detection of impulsive signals on tendons for hybrid wind turbines using acoustic emission measurements
    International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE 2022), August 2022
  • Alexander Lange, Max Käding, Reemt Hinrichs, Jörn Ostermann, Steffen Marx
    Wire Break Detection in Bridge Tendons Using Low-Frequency Acoustic Emissions
    European Workshop on Structural Health Monitoring. EWSHM 2022., Springer, June 2022
  • Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Max Käding, Alexander Lange, Boso Schmidt, Jörn Ostermann, Steffen Marx
    Analysis of the Repeatability of the Pencil Lead Break in Comparison to the Ball Impact and Electromagnetic Body-Noise Actuator
    20th World Conference on Non-Destructive Testing (WCNDT 2020), 2022
  • Reemt Hinrichs, Kevin Gerkens, Alexander Lange, Jörn Ostermann
    Classification of Guitar Effects and Extraction of their Parameter Settings from Instrument Mixes Using Convolutional Neural Networks
    EvoMUSART 2022, 2022
  • Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Alexander Lange, Max Käding, Boso Schmidt, Steffen Marx, Jörn Ostermann,
    Analysis of the repeatability of the pencil lead break artificial sound source
    59th Annual British Conference on Non-Destructive Testing, September 2020
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