Skip to main contentSkip to search barSkip to navigationSkip to footer
Logo of the University of Applied Sciences and Arts Northwestern Switzerland
  • DE
  • EN
  • Home
  • Degree programmes
  • Continuing education

Ten Schools One Goal

The FHNW comprises 10 schools with different specializations. Select a school to see its specific courses, study programmes and information.

Applied Psychology

Architecture, Construction and Geomatics

Art and Design

Music

Computer Science

Life Sciences

School of Education

Social Work

Engineering and Environment

Business

  • Research

    • Research fields
    • Projects
  • Updates and insights

    • News and stories
  • Events

  • Media corner

  • About the School of Engineering and Environment

    • People directory
    • Management Board
  • Institutes

    • Institute of Automation
    • Institute of Bioenergy and Resource Efficiency
    • Institute of Business Engineering
    • Institute of Electric Power Systems
    • Institute of Humanities and Social Sciences
    • Institute of Polymer Engineering
    • Institute of Mathematics and Natural Sciences
    • Institute of Polymer Nanotechnology
    • Institute of Optometry
    • Institute of Product and Production Engineering
    • Institute for Sensors and Electronics
    • Institute of Thermal and Fluid Engineering
    • Laboratories of the School of Engineering and Environment
Logo of the University of Applied Sciences and Arts Northwestern Switzerland
  • About the School
    • FHNW School of Engineering and Environment
    • Degree Programmes
    • Continuing Education
    • Collaboration in Research and Services
  • Social Media
    • LinkedIn
    • Instagram
    • Facebook
    • TikTok
    • YouTube
  • About FHNW
    • Organisation
    • Schools
    • Locations
    • FHNW Library
    • Media Relations
  • Support
    • IT Support
    • Inside FHNW
    • Webmail
  • Data Protection
  • Imprint
  • Accessibility
  • Research

    • Research fields
    • Projects
  • Updates and insights

    • News and stories
  • Events

  • Media corner

  • About the School of Engineering and Environment

    • People directory
    • Management Board
  • Institutes

    • Institute of Automation
    • Institute of Bioenergy and Resource Efficiency
    • Institute of Business Engineering
    • Institute of Electric Power Systems
    • Institute of Humanities and Social Sciences
    • Institute of Polymer Engineering
    • Institute of Mathematics and Natural Sciences
    • Institute of Polymer Nanotechnology
    • Institute of Optometry
    • Institute of Product and Production Engineering
    • Institute for Sensors and Electronics
    • Institute of Thermal and Fluid Engineering
    • Laboratories of the School of Engineering and Environment

Type a search term and search continuing education,degree programmes, events, documents and other content.

  • Engineering and Environment
  • Research and services
  • Research
  • Projects
Projects

Dynamic and Static Track Monitoring Using an Innovative Sensor System, FHNW School of Engineering and Environment

School of Engineering and Environment


A newly developed, high-precision sensor system enables the dynamic measurement of track subsidence during train passage. The project makes a significant contribution to increasing railway safety and to the early detection of changes in the ground structure.

Introduction

Reliable monitoring of track infrastructure is a key factor for the safety of railway operations. Track subsidence, often caused by nearby construction work or changes in the underground, can lead to severe incidents. Together with Amberg Infra 7D AG, the FHNW is developing an innovative measurement system that captures track movements with high precision, both statically and dynamically, thereby ushering in a new era of track monitoring.

Background

Today, track subsidence is monitored predominantly in a static manner—meaning without a passing train. While this allows for reliable diagnostics, it only identifies problems once they have already reached a critical stage. Events such as the 2017 incident in Rastatt (Germany), where a railway trackbed dramatically sank due to tunneling work, highlight the importance of early-warning systems. This project addresses exactly that challenge: using a new measurement approach based on MEMS acceleration sensors, track subsidence is to be detected during regular train operations—precisely, robustly, and fully integrable into existing monitoring infrastructures.

Collapsed railway trackbed due to tunneling works (Rastatt, Germany, image: Stuttgarter Zeitung, 15.08.2018).
Collapsed railway trackbed due to tunneling works (Rastatt, Germany, image: Stuttgarter Zeitung, 15.08.2018).

Objectives

The project pursues the following goals:

  • Dynamic detection of track subsidence during train passage, with sub-millimeter accuracy.

  • Development of an integrable sensor system that seamlessly fits into the existing Amberg Infra 7D infrastructure.

  • Optimization of signal processing to minimise drift effects and reliably compute deflection values—even though noisy acceleration data must be integrated twice.

  • Establishing a foundation for future machine-learning methods to automatically detect track anomalies, underground changes, or deviations related to the train itself.

The system has been submitted for patenting (10 2025 142 270.2).

Results

Several key milestones have been achieved:

  • Sensor study & prototyping: Various MEMS acceleration sensors were evaluated, tested, and implemented in a first prototype, which was then deployed on real railway tracks.

  • Reference validation: Acceleration data was measured and compared using a laser tracker. Integration in the frequency domain combined with suitable filters significantly reduced drift.

  • Development of a custom PCB: A second prototype integrates the sensor module, microcontroller, and communication interface into a compact unit.

  • Embedded signal processing: The signal processing pipeline initially developed in Python was ported to the microcontroller, enabling full onboard calculation of track deflection.

  • Integration into existing systems: The prototype was successfully embedded into the Amberg Infra 7D measurement system and tested autonomously on railway tracks.

  • Data recording of Prototype 1: the block diagram
    Data recording of Prototype 1: the block diagram
  • Data recording of Prototype 1: the measurement on a railway track.
    Data recording of Prototype 1: the measurement on a railway track.
  • Calculated track deflection compared with a laser tracker reference measurement (image of the train: SchmalspurDVZO, Wikimedia).
    Calculated track deflection compared with a laser tracker reference measurement (image of the train: SchmalspurDVZO, Wikimedia).
  • Prototype 2 in the housing, including the embedded implementation of the signal processing.
    Prototype 2 in the housing, including the embedded implementation of the signal processing.
  • Measurement system of Amberg Infra 7D, which is also used for the new sensor.
    Measurement system of Amberg Infra 7D, which is also used for the new sensor.
  • Autonomous measurement with Prototype 2 on a railway track (image: Amberg Infra 7D).
    Autonomous measurement with Prototype 2 on a railway track (image: Amberg Infra 7D).

Outlook

Next steps in the project include:

  • Applying machine learning to automatically interpret measurement data and identify train types, underground changes, or potential anomalies.

  • Expanding the system with static measurement functionality to fully replace previous sensor solutions.

  • Further development toward series production, enabling widespread use to contribute to safer and more efficient railway operations in the future.

Project Information

 

Client

Amberg Infra 7D AG

Executing Unit

Institute for Sensors and Electronics

Duration

2 years

Funding

Innosuisse

Project Team

Prof. Dr. Stefan Gorenflo(Project Lead), Marco Meier,Marc Hochuli,  Prof. Dr. Jürg Küffer(IPPE), Prof. Dr. Denis Jordan(HABG), Théo Reibel(HABG)

School of
Engineering and Environment FHNW University of Applied Sciences and Arts Northwestern Switzerland

  • About the School
    • FHNW School of Engineering and Environment
    • Degree Programmes
    • Continuing Education
    • Collaboration in Research and Services
  • Social Media
    • LinkedIn
    • Instagram
    • Facebook
    • TikTok
    • YouTube
  • About FHNW
    • Organisation
    • Schools
    • Locations
    • FHNW Library
    • Media Relations
  • Support
    • IT Support
    • Inside FHNW
    • Webmail
Logo FHNW - 20 Years
Logo Swiss Universities
Logo European University Association
© University of Applied Sciences and Arts Northwestern Switzerland (FHNW)
  • Data Protection
  • Imprint
  • Accessibility
  • DE
  • EN