article

Detection of machine failure: Hidden Markov Model approach

Authors:

Allen H. Tai,

Wai-Ki Ching,

L. Y. ChanAuthors Info & Claims

Computers and Industrial Engineering, Volume 57, Issue 2

Pages 608 - 619

https://doi.org/10.1016/j.cie.2008.09.028

Published: 01 September 2009 Publication History

Abstract

Hidden Markov Models (HMMs) are widely used in applied sciences and engineering. The potential applications in manufacturing industries have not yet been fully explored. In this paper, we propose to apply HMM to detect machine failure in process control. We propose models for both cases of indistinguishable production units and distinguishable production units. Numerical examples are given to illustrate the effectiveness of the proposed models.

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Shi DElliott RChen T(2016)Event-based state estimation of discrete-state hidden Markov modelsAutomatica (Journal of IFAC)10.1016/j.automatica.2015.11.02365:C(12-26)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.automatica.2015.11.023
Janicijevic IKrsmanovic MZivkovic NLazarevic S(2016)Software quality improvementSoftware Quality Journal10.1007/s11219-014-9257-z24:2(247-270)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s11219-014-9257-z
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cover image Computers and Industrial Engineering

Computers and Industrial Engineering Volume 57, Issue 2

September, 2009

197 pages

ISSN:0360-8352

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Pergamon Press, Inc.

United States

Publication History

Published: 01 September 2009

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El Afia ASarhani MLazaar MTabii YChrayah MAl Achhab M(2017)Particle Swarm Optimization for Model Selection of Aircraft Maintenance Predictive ModelsProceedings of the 2nd international Conference on Big Data, Cloud and Applications10.1145/3090354.3090402(1-12)Online publication date: 29-Mar-2017
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Shi DElliott RChen T(2016)Event-based state estimation of discrete-state hidden Markov modelsAutomatica (Journal of IFAC)10.1016/j.automatica.2015.11.02365:C(12-26)Online publication date: 1-Mar-2016
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Agrawal BWiktorski TRong C(2015)Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov ModelRevised Selected Papers of the Second International Conference on Cloud Computing and Big Data - Volume 910610.1007/978-3-319-28430-9_18(232-246)Online publication date: 17-Jun-2015
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