A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES

Hüseyin Metin Ertunç

A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES

Abstract

The condition monitoring of bearings has gained great importance in recent years to increase reliability and reduce production loss. Many monitoring techniques have been proposed based on different intelligent techniques and feature extraction schemes. In this study, a combined decision algorithm has been developed based on feature set that composed of statistical variables and linear prediction coefficients of time domain vibration signals. Artificial intelligent techniques, namely artificial neural networks, adaptive neuro-fuzzy inference systems and support vector machine were employed together to develop a decision making algorithm that classify the type and severity of bearing faults. Although each method can be used alone for data classification in the developed models with a limited performance, the proposed decision algorithm combines decision of each method with a synergy according to the majority of the decisions. Based on the experimental results, the proposed scheme outperformed the three methods when used alone.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Hüseyin Metin Ertunç This is me
0000-0003-1874-3104
Türkiye

Publication Date

December 1, 2018

Submission Date

February 2, 2018

Acceptance Date

November 1, 2018

Published in Issue

Year 2018 Volume: 36 Number: 4

IZ

https://izlik.org/JA23FX29LD

Cite

RIS / Bibtex

APA

Ertunç, H. M. (2018). A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES. Sigma Journal of Engineering and Natural Sciences, 36(4), 1235-1253. https://izlik.org/JA23FX29LD

AMA

1.Ertunç HM. A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES. SIGMA. 2018;36(4):1235-1253. https://izlik.org/JA23FX29LD

Chicago

Ertunç, Hüseyin Metin. 2018. “A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES”. Sigma Journal of Engineering and Natural Sciences 36 (4): 1235-53. https://izlik.org/JA23FX29LD.

EndNote

Ertunç HM (December 1, 2018) A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES. Sigma Journal of Engineering and Natural Sciences 36 4 1235–1253.

IEEE

[1]H. M. Ertunç, “A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES”, SIGMA, vol. 36, no. 4, pp. 1235–1253, Dec. 2018, [Online]. Available: https://izlik.org/JA23FX29LD

ISNAD

Ertunç, Hüseyin Metin. “A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES”. Sigma Journal of Engineering and Natural Sciences 36/4 (December 1, 2018): 1235-1253. https://izlik.org/JA23FX29LD.

JAMA

1.Ertunç HM. A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES. SIGMA. 2018;36:1235–1253.

MLA

Ertunç, Hüseyin Metin. “A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES”. Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 4, Dec. 2018, pp. 1235-53, https://izlik.org/JA23FX29LD.

Vancouver

1.Hüseyin Metin Ertunç. A COMBINED DECISION ALGORITHM FOR DIAGNOSING BEARING FAULTS USING ARTIFICIAL INTELLIGENT TECHNIQUES. SIGMA [Internet]. 2018 Dec. 1;36(4):1235-53. Available from: https://izlik.org/JA23FX29LD