Distributed neuro-fuzzy feature forecasting approach for condition monitoring | IEEE Conference Publication | IEEE Xplore

Distributed neuro-fuzzy feature forecasting approach for condition monitoring


Abstract:

The industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis ...Show More

Abstract:

The industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, features calculation, features reduction and classification are being applied. However, in this paper, in order to enhance the condition monitoring capabilities, a forecasting approach is proposed, in which not only the current status of the system under monitoring in identified, diagnosis, but also the future condition is assessed, prognosis. The novelties of the proposed methodology are based on a distributed features forecasting approach by means of adaptive neuro-fuzzy inference system models. The proposed method is validated by means of an accelerated bearing degradation experimental platform.
Date of Conference: 16-19 September 2014
Date Added to IEEE Xplore: 12 January 2015
Electronic ISBN:978-1-4799-4845-1

ISSN Information:

Conference Location: Barcelona, Spain

References

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