0

Full Content is available to subscribers

Subscribe/Learn More  >

Machinery Faults Detection and Forecasting Using Hidden Markov Models

[+] Author Affiliations
Paolo Calefati, Biagio Amico, Antonella Lacasella, Emanuel Muraca

ITIA-CNR, Modugno, Italy

Ming J. Zuo

University of Alberta

Paper No. ESDA2006-95472, pp. 895-901; 7 pages
doi:10.1115/ESDA2006-95472
From:
  • ASME 8th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 2: Automotive Systems, Bioengineering and Biomedical Technology, Fluids Engineering, Maintenance Engineering and Non-Destructive Evaluation, and Nanotechnology
  • Torino, Italy, July 4–7, 2006
  • ISBN: 0-7918-4249-5 | eISBN: 0-7918-3779-3
  • Copyright © 2006 by ASME

abstract

The present work describes an automatic procedure for diagnostics and prognostic issues, and its application to the evaluation of gearboxes residual lifetime. The Hidden Markov Models — HMM — technique has been used to create quasistationary and stationary models and to take advantages of the multiple sensor data acquisition architecture. At first, Markov models for diagnostics have been defined. The main advantage of the HMMs approach is that all vibration raw data measured by a multisensor architecture can be used without any preprocessing. An effort to adapt the HMMs technique to the prognostic issue has also been carried out. To create Markov Models suitable for prognostics, the Viterbi Algorithm has been used to define the best sequence of model states and to optimize residual useful lifetime computation. Finally, experimental results are discussed, which encourage further research efforts according to the proposed approach.

Copyright © 2006 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In