Modelling of a transport belt degradation using state space model

In this article we deal with modelling diagnostic data. They are the data measured during the operation of a conveyor belt. To be specific, we observe how the distances between measuring points change in time. The development of the distance between these points reflects the process of degradation a...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) pp. 949 - 953
Main Authors Valis, D., Mazurkiewicz, D., Forbelska, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Belts
big data
data analysis
Degradation
discrete time series
Kalman filter
Kalman filters
Mathematical model
Numerical models
system degradation
Time measurement
Time series analysis
Online AccessGet full text

Cover

More Information
Summary:In this article we deal with modelling diagnostic data. They are the data measured during the operation of a conveyor belt. To be specific, we observe how the distances between measuring points change in time. The development of the distance between these points reflects the process of degradation at the point where the belt is connected with the other part. When the distance reaches its critical value, there is a threat of conveyor belt break leading to serious consequences. The modelling of belt degradation is performed with the Kalman filter applying the Local Linear Model (LLM).
ISSN:2157-362X
DOI:10.1109/IEEM.2017.8290032