Examensarbete: Analysis of bearing fault detector data
Green Cargo ABSammanfattning
This degree project focuses on improving the detection of bearing faults in railway systems to enhance safety. The project involves developing a filtering method to refine alert thresholds using data from infrared and acoustic detectors. Students can work from the office in Stockholm and can choose to write their thesis in Swedish or English. The project is suitable for both Master’s and Bachelor’s students in fields related to technology, signalling, electric, or data analysis.Det här erbjuder vi
Opportunity to work on a significant safety project for railway systems.Experience in a professional engineering environment in Stockholm.Possibility to write the thesis in Swedish or English.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-22
Beskrivning
Analysis of bearing fault detector data
Background
Bearing faults can cause severe railway accidents, including derailments that pose a serious risk to human life. Trafikverket has installed trackside detectors that measure the infrared radiation to estiamte the temperature of the axle box. However, radiation from the wheel tread can also reach the axle box temperature sensor and affect its readings, potentially triggering false alarms. By developing a filtering method based on available data, the rate of false positives can be reduced while maintaining the rate for true positives. Relevant data include left and right axle box temperature, wheel thread temperature, ambient temperature, bearing make and model, snow/ice. Trafikverket has also installed an acoustic bearing fault detector. Its effectiveness could be evaluated by analysing measurements such as peak sound levels, RMS sound levels, and frequency-band data.
Problem description, tasks and goals
Develop a filtering method using available data to improve alert thresholds. Compare the effectiveness of infrared and acoustic detectors in identifying bearing faults.
Category to which this degree project corresponds the best:
Tech, Signalling, Electric, Data analysis.
Type of degree project (can be both)☒ Master (20 weeks)
☒ Bachelor/Högskoleingenjör (10 weeks)
Language for the thesis☒ Swedish and/or ☒English
Is Swedish a language requirement?☒ No, but Swedish is a requirement for future employment.
Possibility to work from our office☒ Yes No
Address: Hälsingegatan 49, 113 31 Stockholm
Contact person
Mattias Wang
Role: Vehicle/Maintenance Engineer
Please contact me if you have any questions: mattias.wang@greencargo.com
Background
Bearing faults can cause severe railway accidents, including derailments that pose a serious risk to human life. Trafikverket has installed trackside detectors that measure the infrared radiation to estiamte the temperature of the axle box. However, radiation from the wheel tread can also reach the axle box temperature sensor and affect its readings, potentially triggering false alarms. By developing a filtering method based on available data, the rate of false positives can be reduced while maintaining the rate for true positives. Relevant data include left and right axle box temperature, wheel thread temperature, ambient temperature, bearing make and model, snow/ice. Trafikverket has also installed an acoustic bearing fault detector. Its effectiveness could be evaluated by analysing measurements such as peak sound levels, RMS sound levels, and frequency-band data.
Problem description, tasks and goals
Develop a filtering method using available data to improve alert thresholds. Compare the effectiveness of infrared and acoustic detectors in identifying bearing faults.
Category to which this degree project corresponds the best:
Tech, Signalling, Electric, Data analysis.
Type of degree project (can be both)☒ Master (20 weeks)
☒ Bachelor/Högskoleingenjör (10 weeks)
Language for the thesis☒ Swedish and/or ☒English
Is Swedish a language requirement?☒ No, but Swedish is a requirement for future employment.
Possibility to work from our office☒ Yes No
Address: Hälsingegatan 49, 113 31 Stockholm
Contact person
Mattias Wang
Role: Vehicle/Maintenance Engineer
Please contact me if you have any questions: mattias.wang@greencargo.com
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Examensarbete: Analysis of bearing fault detector data
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