Evaluation of Condition Symptoms in Diagnosing Complex Objects

Evaluation of Condition Symptoms in Diagnosing Complex Objects

Tomasz GaAka

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Institute of Power Engineering

Evaluation of Condition Symptoms in Diagnosing Complex Objects

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Abstract

A method is proposed for selecting the most informative diagnostic symptoms in lifetime consumption monitoring of complex objects. Typically in such cases many symptoms are available and their suitability cannot be evaluated even with a detailed knowledge of object layout and operation. The proposed procedure involves two stages. Preliminary symptom selection is based on the Singular Value Decomposition (SVD) method. Second stage is based on the information content assessment and employs the continuous analogue of Shannon entropy. An example is presented for a steam turbine fluid-flow system.

References

24 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Tomasz GaAka. 2013. \u201cEvaluation of Condition Symptoms in Diagnosing Complex Objects\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 13 (GJSFR Volume 13 Issue A7).

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GJSFR Volume 13 Issue A7

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

diagnostic symptom information content shannon entropy singular value decomposition

Submission ReceivedJuly 24, 2013
Peer Review Double Blind
Handling Editor
Accepted August 17, 2013
Published August 29, 2013

Version of record

v1.2

Issue date

November 9, 2013

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Article Matrices

Total Score: 121

Country: Poland

Subject: Global Journal of Science Frontier Research - A: Physics & Space Science

Authors: Tomasz GaAka (PhD/Dr. count: 0)

View Count (all-time): 150

Total Views (Real + Logic): 4803

Total Downloads (simulated): 2288

Publish Date: 2013 11, Sat

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Total Views: 4803

Total Downloads: 2288

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