Hidden Semi-Markov Models for Predictive Maintenance
Joint Authors
Cartella, Francesco
Lemeire, Jan
Dimiccoli, Luca
Sahli, Hichem
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Realistic predictive maintenance approaches are essential for condition monitoring and predictive maintenance of industrial machines.
In this work, we propose Hidden Semi-Markov Models (HSMMs) with (i) no constraints on the state duration density function and (ii) being applied to continuous or discrete observation.
To deal with such a type of HSMM, we also propose modifications to the learning, inference, and prediction algorithms.
Finally, automatic model selection has been made possible using the Akaike Information Criterion.
This paper describes the theoretical formalization of the model as well as several experiments performed on simulated and real data with the aim of methodology validation.
In all performed experiments, the model is able to correctly estimate the current state and to effectively predict the time to a predefined event with a low overall average absolute error.
As a consequence, its applicability to real world settings can be beneficial, especially where in real time the Remaining Useful Lifetime (RUL) of the machine is calculated.
American Psychological Association (APA)
Cartella, Francesco& Lemeire, Jan& Dimiccoli, Luca& Sahli, Hichem. 2015. Hidden Semi-Markov Models for Predictive Maintenance. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-23.
https://search.emarefa.net/detail/BIM-1073391
Modern Language Association (MLA)
Cartella, Francesco…[et al.]. Hidden Semi-Markov Models for Predictive Maintenance. Mathematical Problems in Engineering No. 2015 (2015), pp.1-23.
https://search.emarefa.net/detail/BIM-1073391
American Medical Association (AMA)
Cartella, Francesco& Lemeire, Jan& Dimiccoli, Luca& Sahli, Hichem. Hidden Semi-Markov Models for Predictive Maintenance. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-23.
https://search.emarefa.net/detail/BIM-1073391
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073391