Thesis Worker 30 hp - Integrating Wear and Sensor information

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

This thesis project focuses on integrating wear and sensor data to predict the Remaining Useful Life (RUL) of components using data-driven methods. The work involves implementing and extending a probabilistic framework, exploring alternative modeling approaches, and evaluating generalization and uncertainty quantification. Ideal for Master's students in Machine Learning, Data Science, or related fields.

Responsibilities

Reproduce and validate the proposed framework combining survival-based aging and neural-network-based RUL models.
Explore alternative modeling approaches for Weibull survival models and/or neural network architectures.
Evaluate the framework's generalization across additional datasets and operating conditions.
Investigate different approaches for estimating predictive uncertainty for RUL prediction.
Potentially investigate extensions to the data-generating formulation for a more general relationship between wear, health, and failure.

Requirements

Master's programs in Machine Learning, Data Science, Computer Science, Complex Adaptive Systems, or similar.
Ability to work at the intersection of machine learning, survival analysis, uncertainty quantification, and predictive maintenance.
Proficiency in implementing and evaluating data-driven models.
Familiarity with survival-based aging models and neural networks is beneficial.

Desired Qualifications

Experience with probabilistic frameworks.
Understanding of prediction uncertainty and its effect on distributions, prediction intervals, calibration, and accuracy.

Benefits

An excellent way to get closer to Scania and build relationships for the future.
Opportunity to work on a real-world industrial application.

Skills

Machine LearningData ScienceSurvival AnalysisUncertainty QuantificationPredictive MaintenanceNeural Networks

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About Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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