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Projects

Custom Testing Interface for Circuit Breakers, FHNW School of Computer Science

School of Computer Science


A custom web-based software solution automates circuit breaker testing, enabling unlimited test sequences, real-time monitoring and efficient data analysis.

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Testimonial

Making circuit breaker testing more efficient

Developing a new circuit breaker requires extensive testing to ensure safety, reliability and compliance with industry standards. Engineers need to run large numbers of test sequences while continuously monitoring and analysing the resulting measurement data.

At Pfiffner, the existing Cibano 500 software limited the number of test sequences that could be executed consecutively. This made long-running and automated test scenarios less efficient and required additional manual effort.

Automating testing with a custom software solution

The student team developed a custom web-based application that communicates directly with the Cibano 500 API. It enables engineers to configure and execute an unlimited number of test sequences while automatically collecting and storing the resulting measurement data.

Existing Omicron test files can be imported, edited and reused, allowing the solution to fit into established workflows. A familiar and intuitive interface makes it easy to organise tests into groups, adjust technical parameters and monitor their execution.

“Working with the student team was an enriching experience. Their dedication and adaptability were particularly evident in their ability to take on additional and modified goals as the project progressed. Their commitment and problem-solving approaches led to results that met and, in some cases, exceeded our expectations. The collaboration was smooth and professional; we would like to thank them for their efforts and look forward to our next project with the FHNW.”
Severin Hunziker, Head of Circuit Breaker, Pfiffner Schaltgeräte AG

Real-time monitoring and data visualisation

After each test, measurement data is automatically collected and visualised. Engineers receive live updates throughout the testing process and can analyse results directly within the application.

By combining test configuration, automated execution, monitoring and data visualisation in one interface, the solution reduces manual effort and makes complex testing processes more efficient.

From an industrial challenge to a tailored software solution

The project demonstrates how custom software can overcome limitations of existing industrial tools while integrating with established hardware and workflows.

Expertise in software engineering, API integration, process automation and data visualisation can be applied to many industrial challenges; from automating repetitive processes to connecting specialised equipment and making measurement data easier to analyse.

  • test-selection.png
    Test Selection and Management: In the test selection and management interface, test sequences can be organized into groups, scheduled and monitored throughout execution.
  • test-config.png
    Test Configuration Detail: In the detailed test configuration view, timing parameters and technical settings can be adjusted to customize the behavior of individual test sequences.
  • data-visualization.png
    Measurement Data Visualization: In the measurement data visualization interface, recorded test values are displayed graphically to support real-time monitoring and analysis.

Project details

Type
Student project
Research areas
Human-Computer Interaction (HCI), Requirements and Software Engineering
University
FHNW School of Computer Science
Partner
Pfiffner Group
PFIFFNER Instr. Transformers Ltd
Running time
Autumn semester 2025
Management
Team
Patrick Havarneanu-Bica
Aswin Senthilrajan
Adrian Sonderegger
Anshika Sengar
Niklas Häflinger
Philipp Eberhard

Advisor
Sibylle Peter

Contact us

Sibylle Peter

Sibylle Peter

Lecturer for Software Engineering, PiBS
Phone
+41 56 202 72 57 (Direct)
E-Mail
sibylle.peter@fhnw.ch

Further projects

Bubblee – Pond of Reflections

Bubblee – Pond of Reflections

Bubblee helps young adults explore and understand their interests through reflection, a visual pond, and AI-powered suggestions.
Research field
Human-Computer Interaction (HCI), Image Processing & Computer Vision
Machine Learning for Real-Time Solar Flare Detection

Machine Learning for Real-Time Solar Flare Detection

Machine Learning turns complex space telescope sensor data into near real-time insights and images for research and industry.
Research field
Astroinformatics and Space Sciences, Visual Computing
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More on the project from the students

School of
Computer Science FHNW University of Applied Sciences and Arts Northwestern Switzerland

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