Denna sida på svenska This page in English

Seminars and Events at automatic control

All seminars are held at the Department of Automatic Control, in the seminar room M:2112B on the second floor in the M-building, unless stated otherwise.


MSc. presentation by A. Olsson & H. Persson Caesar: Machine Monitoring of Production Equipment

A machine


From: 2023-06-08 09:00 to 10:00
Place: Seminar Room M 3170-73 at Dept. of Automatic Control, LTH
Contact: olle [dot] kjellqvist [at] control [dot] lth [dot] se

Alexander Olsson and Henrik Persson Caesar are defending their Masters thesis at the Dept. of Automatic Control.

Date & Time: 8/6 klockan 09:00 
Location: Reglertekniks Seminarierum, M:3170-3173
Title: Machine Monitoring of Production Equipment  
Authors: Alexander Olsson, Henrik Persson Caesar
Advisors: Olle Kjellqvist, Dept. of Automatic Control, LTH; Bengt Sirbelius, Axis Communications
Examiner: Kristian Soltesz, Dept. of Automatic Control, LTH

This study investigates the possibility of implementing a machine monitoring system on IBAS2, a production machine responsible for aligning an optical lens with an image sensor. A machine-monitoring system could possibly reduce downtime, costs, and production recalls. After examining IBAS2, vibration analysis emerged as a promising monitoring approach. The research aimed to capture the natural vibrations exhibited by the machine during normal operation, serving as a baseline for understanding its functioning under normal conditions. The results obtained from this investigation demonstrate repetitive vibration patterns associated with specific machine components. Moreover, altering the velocity of a machine component leads to a distinct variation in the vibration pattern observed from the collected data. Furthermore, the results obtained from vibration measurements exhibit promising potential for detecting indications of machine wear. By leveraging accurate data that establish the machine's normal vibration patterns, we propose a future implementation of an AI model designed to detect deviations from the norm. This could lead to a vibration-focused machine monitoring system that predicts upcoming failures in IBAS2.