Master Thesis - Sensing in Smart Maintenance
Every day, we get opportunities to make a positive impact - on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping.
As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.
About the Team
Join a dynamic team at Alfa Laval Technologies, Global Core Components, where we press and produce plates for Alfa Laval heat exchangers. Our group includes production engineers and technicians who support daily operations and development, automation engineers who manage production automation, and maintenance engineers who drive maintenance methods. Your industrial tutors will be a maintenance engineer and an automation engineer, ensuring you have competentguidance throughout your project.
About the Master Thesis Project
In our production plant in Lundwe process coils to heat exchanger plates which are used in applications for the medical, marine, nuclear, and defense industries-to name a few. Efficientmaintenance of our machinery is critical: too little maintenance causesunplanned breakdowns, while too muchleads to unnecessary downtime and costs. Our vision is to let the machinery itself indicatewhen maintenance is needed, whichis where this thesis comes in.
We want to deepen our understanding of our machinery through smart sensing and data. Key themesinclude:
Which sensors to choose, and what data to collect
Positioning of sensors on the equipment
Sampling frequency
Data storage, handling,and visualization
You will:
Investigate relevant data types and the state-of-the-art in sensor technology
Recommend sensor specifications for various applications
Advise on data storage, sampling frequency, and analysis methods
Suggest ways to visualize data for effective anomaly detection
Youwill work closely with production engineering and maintenance personnel, spending significant timeon the factory floor to understand the environment. You will probablyinteractwith sensor suppliersto understand possibilities and limitations better.
Why This Project Matters
Your work will directly support Alfa Laval’s efforts to minimize waste and optimize maintenance practices.Ifyour work issuccessful, your recommendations will be implemented and have a lasting impact on our operations.
What We’reLooking For
This is an exploratory project, ideal for a student who thrivesin open-ended environments.
Deliverables
For Sensors:
A manual describing applications for sensing, sensor positions, parameters, and variables.
Recommendations for sensor specifications for different applications.
For Data Storage and Handling:
Guidelines for sampling frequency and data storage.
Analysis of correlations between measurement methods.
Recommendations for data analysis and visualization to enhance anomaly detection.
For more information, please contact:
Christian Kunkel, Maintenance Engineer,[email protected]
Nilanka Sooriyampola, Early in Career Lead, [email protected]
For union information, please contact:
Monica Anderberg, Unionen, at[email protected]
Johan Ranhög, Akademikerna atJohan.Ranhö[email protected]
Stefan Sandell, Ledarna at[email protected]
We review applications continually. If the right candidate appears, the ad will be closed earlier. Applications sent directly via email will be disregarded without notice due to General Data Protection Regulation (GDPR).
We care about diversity, inclusion, and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games.