Evaluation of Condition Symptoms in Diagnosing Complex Objects

Evaluation of Condition Symptoms in Diagnosing Complex Objects

Tomasz GaAka

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1 Institute of Power Engineering

GJSFR Volume 13 Issue A7

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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.

24 Cites in Articles

References

T Gałka (2013). Evolution of Symptoms in Vibration-Based Turbomachinery Diagnostics.
T Gałka (2011). Vibration Signals from Rotating and Reciprocating Machines.
K Martin (1994). A review by discussion of condition monitoring and fault diagnosis in machine tools.
C Cempel (1991). Vibroacoustic Condition Monitoring.
D Bently,C Hatch (2002). Fundamentals of Rotating Machinery Diagnostics.
N Bachschmid,P Pennacchi,E Tanzi (2010). Cracked Rotors. A Survey on Static and Dynamic Behaviour Including Modelling and Diagnosis.
Robert Randall (2011). Vibration‐based Condition Monitoring.
Z Orłowski,T Gałka (2002). Modeling of the steam turbine fluid-flow system for technical condition assessment purposes.
Logan Jr,R Roy (2003). Handbook of Turbomachinery.
T Gałka (2003). Normalization of vibration measurements: Unnecessary complication or important prerequisite.
C Cempel,M Tabaszewski (2007). Multidimensional condition monitoring of the machines in nonstationary operation.
V Barnett,T Lewis (1994). Outliers in Statistical Data.
Ricardo Maronna,R Martin,Víctor Yohai (2006). Robust Statistics.
C Cempel (1999). Innovative developments in systems condition monitoring.
C Cempel (2003). MULTIDIMENSIONAL CONDITION MONITORING OF MECHANICAL SYSTEMS IN OPERATION.
G Golub,C Reinsch (1970). Singular value decomposition and least squares solutions.
T Gałka (2010). Application of the Singular Value Decomposition method in steam turbine diagnostics.
C Shannon,W Weaver (1949). The Mathematical Theory of Communication.
Te Han,Kingo Kobayashi (2002). Mathematics of Information and Coding.
A Rènyi (1961). On measures of entropy and information.
E Jaynes (1963). Information theory and statistical mechanics.
A Lazo,P Rathie (1978). On the entropy of continuous probability distributions (Corresp.).
John Aldrich (1995). Correlations Genuine and Spurious in Pearson and Yule.
Tomasz Gałka,Maciej Tabaszewski (2011). An application of statistical symptoms in machine condition diagnostics.

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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.

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
Pg. 1- 8

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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

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Submission ReceivedJuly 24, 2013
RevisedJuly 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

Language

English

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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)

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