Automation of Test Steps
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Typ
Examensarbete på kandidatnivå
Program
Publicerad
2021
Författare
Ceric, Dennis
Fazlagic, Edvin
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Automation is a relevant topic in this day and age for the telecommunication industry.
The purpose of this thesis was to analyze the current production flow of a tuned
microwave diplexer filter at Ericsson AB, then identify possible automated solutions of the
current manual filter tuning steps, as a proof of concept. Practical studies were done to
analyze how all the current manual filter tuning steps were done. After all the steps were
analyzed, the filter tuning steps that should be automated were clarified. Thereafter,
three possible solutions were being worked on but one solution was scrapped early. The
first solution being based on potentiometer controlled servo motors connected to the
tuning elements of the filter, where the operator can tune a filter with potentiometers
instead of manual screw drivers. This solution was further illustrated by presenting
sketches of potentiometer controlled servo motors with the help of Arduino. The second
solution being an AI-based robotic solution, where research was conducted on what types
of solution exist today and what needs to be done in order to develop this solution. The
last solution that got scrapped was based on recording the operator's screwing
movement, thereafter implementing the recorded data in a robot who would execute the
exact same movements. All the benefits and potential drawbacks were brought up for the
proposed solutions, from a cost and quality perspective, as well as identifying which steps
the proposed solutions can automate. From a short term perspective, the potentiometer
based solution is the best to implement as an inexpensive and quick solution. However,
as a long term solution, the AI-based solution is definitely worth investing time to work
on, in order to reach full automation of all the manual steps to save time and money.
Beskrivning
Ämne/nyckelord
automation , filter tuning , microwave filters , artificial intelligence , neural networks , fuzzy logic , vector network analyzer , servo motor , potentiometer , arduino