Your mission
Graduation Project – Predicting airport light failures from remotely collected data.
Are you a Master student with a background in Electrical Engineering or related and are you interested in analyzing and optimizing techniques and statistics and interested in predicting models and outcomes? Then this graduation assignment could be interesting for you. For this graduation assignment, you will be getting the assignment to predict airport light failures from remotely collected data.
About the assignment you will be doing:
Airport taxi and runway infrastructure is a critical resource for airports. Down time is very costly, and unplanned down time is even more costly. Unplanned failures of airport lights, in particular, can disrupt operations and lead to delays and increased expenses. The objective of this assignment is to develop a predictive maintenance system that utilizes data collected from the data to predict failures. By analysing the data, the goal is to identify correlations or relationships between failure mechanisms and the information collected and provide suggestions on how to improve data gathering in the infrastructure. You will be working with our (software) engineer(s) and be part of our development team.
Outcome:
The expected outcome of this graduation assignment is to identify correlations or relationships between failure mechanisms of airport lights and the data collected from the infrastructure. This could involve analyzing data patterns, conducting statistical analyses, and using machine learning techniques to uncover insights. Additionally, the student is expected to provide suggestions on how to improve data gathering in the infrastructure, which may include recommendations for data collection methods, sensor placement, or data quality assurance measures.
Are you a Master student with a background in Electrical Engineering or related and are you interested in analyzing and optimizing techniques and statistics and interested in predicting models and outcomes? Then this graduation assignment could be interesting for you. For this graduation assignment, you will be getting the assignment to predict airport light failures from remotely collected data.
About the assignment you will be doing:
Airport taxi and runway infrastructure is a critical resource for airports. Down time is very costly, and unplanned down time is even more costly. Unplanned failures of airport lights, in particular, can disrupt operations and lead to delays and increased expenses. The objective of this assignment is to develop a predictive maintenance system that utilizes data collected from the data to predict failures. By analysing the data, the goal is to identify correlations or relationships between failure mechanisms and the information collected and provide suggestions on how to improve data gathering in the infrastructure. You will be working with our (software) engineer(s) and be part of our development team.
Outcome:
The expected outcome of this graduation assignment is to identify correlations or relationships between failure mechanisms of airport lights and the data collected from the infrastructure. This could involve analyzing data patterns, conducting statistical analyses, and using machine learning techniques to uncover insights. Additionally, the student is expected to provide suggestions on how to improve data gathering in the infrastructure, which may include recommendations for data collection methods, sensor placement, or data quality assurance measures.