MSc Thesis Work: Understanding Tonal Noise in Permanent Magnet Machines

Construction, Engineering & Trades · Civil & Industrial Engineering · Mechanical Engineering

In short

This MSc thesis focuses on understanding tonal noise in Permanent Magnet Machines at ABB Corporate Research in Västerås, Sweden. You will conduct a literature review, work with simulation and measurement data, apply signal processing and machine learning methods to identify key noise features and governing factors.

Responsibilities

Conduct a literature review of existing methods for e-NVH and tonal-noise analysis.
Work with simulation and measurement e-NVH data.
Apply signal-processing techniques to identify relevant noise features.
Explore data-analysis and machine-learning methods for tonal-noise prediction.
Identify the key factors governing tonal-noise generation and assess their relative importance.

Requirements

Master of Science student in Mechanical Engineering, Engineering Physics, Computer Science, or a related field.
Good understanding of signal processing concepts, such as FFT and frequency-domain analysis.
Programming and data-analysis skills.

Desired Qualifications

Prior experience with machine learning is an advantage.
Basic knowledge of electric machines is beneficial.
Willingness to learn how to use Multiphysics simulation tools.

Benefits

30 ECTS per student

Skills

signal processingmachine learningPython

#MSc Thesis#Permanent Magnet Machines#Tonal Noise#e-NVH#Simulation#Measurement#Signal Processing#Machine Learning#Västerås#Sweden

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