University of Twente Student Theses


Led-screen Service Prediction Using Remote Monitoring

Kuiken, Wessel (2019) Led-screen Service Prediction Using Remote Monitoring.

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Abstract:In this paper, a method is researched to predict time until failure of switch mode power supplies in digital billboards. It is found in literature that temperature and humidity cause filtering capacitors, switching transistors and rectifying diodes to fail due to thermal cycling and dielectric breakdown. From the interviews with the employees at the company, the fans of the power supply are pointed out as the component that most frequently fails. This causes the power supply be unable to get rid of its generated heat and together with a high ambient temperature to go into thermal shutdown. Signs of the power supply degrading are a decreasing output power and an increasing operating temperature. The first is already monitored, for the second the DS18B20 temperature sensor is interfaced for each power supply with a one wire bus communication to the environmental management board already included in the LED panels. This data together with ambient temperature, relative humidity, time and date and ambient light intensity allow for a model to be trained. Since no run-to-failure data is available, first a degradation model is used and when multiple instances of a failing power supply are recorded, a more accurate similarity model is used.
Item Type:Essay (Bachelor)
Hecla Professional, Hengelo, The Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general
Programme:Creative Technology BSc (50447)
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