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Predictive Maintenance of Tetra Pak Distribution Equipment

Zarur, Ashraf (2012) FMS820 20122
Mathematical Statistics
Abstract (Swedish)
This master thesis is written at Tetra Pak, Carton Value - 8&19 Line engineering and the Centre of Mathematical Statistics in Lund.
There is a growing interest in utilizing multivariate statistical techniques for condition based monitoring of industrial processes. This master thesis is a prestudy into the application of four such well-established multivariate tests for the analysis of Tetra Pak distribution equipment such as Film wrappers, Cardboard Packers, Filling Machines and Accumulators. The analysis is performed on existing machine input signals such as position sensors and drive feedback. By developing a means for high speed access of information from the machine controllers we attempt to find pattern or limits for when the... (More)
This master thesis is written at Tetra Pak, Carton Value - 8&19 Line engineering and the Centre of Mathematical Statistics in Lund.
There is a growing interest in utilizing multivariate statistical techniques for condition based monitoring of industrial processes. This master thesis is a prestudy into the application of four such well-established multivariate tests for the analysis of Tetra Pak distribution equipment such as Film wrappers, Cardboard Packers, Filling Machines and Accumulators. The analysis is performed on existing machine input signals such as position sensors and drive feedback. By developing a means for high speed access of information from the machine controllers we attempt to find pattern or limits for when the machines performance is affected and maintenance is needed.
The result is a complete package for data acquisition, models for data extraction and a set of methods for analyzing the results. (Less)
Please use this url to cite or link to this publication:
author
Zarur, Ashraf
supervisor
organization
course
FMS820 20122
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
3165721
date added to LUP
2012-11-08 10:50:39
date last changed
2012-11-08 10:50:39
@misc{3165721,
  abstract     = {This master thesis is written at Tetra Pak, Carton Value - 8&19 Line engineering and the Centre of Mathematical Statistics in Lund.
There is a growing interest in utilizing multivariate statistical techniques for condition based monitoring of industrial processes. This master thesis is a prestudy into the application of four such well-established multivariate tests for the analysis of Tetra Pak distribution equipment such as Film wrappers, Cardboard Packers, Filling Machines and Accumulators. The analysis is performed on existing machine input signals such as position sensors and drive feedback. By developing a means for high speed access of information from the machine controllers we attempt to find pattern or limits for when the machines performance is affected and maintenance is needed.
The result is a complete package for data acquisition, models for data extraction and a set of methods for analyzing the results.},
  author       = {Zarur, Ashraf},
  language     = {eng},
  note         = {Student Paper},
  title        = {Predictive Maintenance of Tetra Pak Distribution Equipment},
  year         = {2012},
}