Online Health Management for Complex Nonlinear Systems Based on Hidden Semi-Markov Model Using Sequential Monte Carlo Methods

Joint Authors

Liu, Qinming
Dong, Ming

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-05-17

Country of Publication

Egypt

No. of Pages

22

Main Subjects

Civil Engineering

Abstract EN

Health management for a complex nonlinear system is becoming more important for condition-based maintenance and minimizing the related risks and costs over its entire life.

However, a complex nonlinear system often operates under dynamically operational and environmental conditions, and it subjects to high levels of uncertainty and unpredictability so that effective methods for online health management are still few now.

This paper combines hidden semi-Markov model (HSMM) with sequential Monte Carlo (SMC) methods.

HSMM is used to obtain the transition probabilities among health states and health state durations of a complex nonlinear system, while the SMC method is adopted to decrease the computational and space complexity, and describe the probability relationships between multiple health states and monitored observations of a complex nonlinear system.

This paper proposes a novel method of multisteps ahead health recognition based on joint probability distribution for health management of a complex nonlinear system.

Moreover, a new online health prognostic method is developed.

A real case study is used to demonstrate the implementation and potential applications of the proposed methods for online health management of complex nonlinear systems.

American Psychological Association (APA)

Liu, Qinming& Dong, Ming. 2012. Online Health Management for Complex Nonlinear Systems Based on Hidden Semi-Markov Model Using Sequential Monte Carlo Methods. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1002269

Modern Language Association (MLA)

Liu, Qinming& Dong, Ming. Online Health Management for Complex Nonlinear Systems Based on Hidden Semi-Markov Model Using Sequential Monte Carlo Methods. Mathematical Problems in Engineering No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-1002269

American Medical Association (AMA)

Liu, Qinming& Dong, Ming. Online Health Management for Complex Nonlinear Systems Based on Hidden Semi-Markov Model Using Sequential Monte Carlo Methods. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1002269

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1002269