COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES FOR INTELLIGENT FAULTS DIAGNOSIS OF ROTATING MACHINERY

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GHAFARI MOHAMMAD HADI; GHANBARZADEH AFSHIN; VALIPOUR CHARDAH CHIRIC ALI

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Journal: Modares Mechanical Engineering Year:2017 | Volume:17 | Issue:6 Page(s): 257-264

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Title

COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES FOR INTELLIGENT FAULTS DIAGNOSIS OF ROTATING MACHINERY

Author(s)

GHAFARI MOHAMMAD HADI | GHANBARZADEH AFSHIN | VALIPOUR CHARDAH CHIRIC ALI | Issue Writer Certificate

Keywords

FAULT DIAGNOSISQ2

INDEPENDENT COMPONENT ANALYSISQ1

PRINCIPAL COMPONENTS ANALYSISQ1

SUPPORT VECTOR MACHINESQ1

BALL BEARINGQ1

Abstract

Any industry needs an efficient predictive plan in order to optimize the management of resources and improve the economy of the plant by reducing unnecessary costs and increasing the level of safety.Rotating machinery is the most common machinery in industry and the root of the faults in rotating machinery is often faulty rolling element bearings. Because of a transitory characteristic vibration of bearing faults, Continuous wavelet transforms with envelope analysis is applied for signal processing.This paper studies the application of INDEPENDENT COMPONENT ANALYSIS and SUPPORT VECTOR MACHINES for automated diagnosis of localized faults in rolling element bearings. The INDEPENDENT COMPONENT ANALYSIS is used for feature extraction and data reduction from original features. The PRINCIPAL COMPONENTS ANALYSIS is also applied in feature extraction process for comparison with INDEPENDENT COMPONENT ANALYSIS. In this paper, SUPPORT VECTOR MACHINES-based multi-class classification is applied for faults classification process and a cross-validation technique is utilized in order to choose the optimal values of kernel parameters.

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APA: Copy

GHAFARI, MOHAMMAD HADI, GHANBARZADEH, AFSHIN, & VALIPOUR CHARDAH CHIRIC, ALI. (2017). COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES FOR INTELLIGENT FAULTS DIAGNOSIS OF ROTATING MACHINERY. MODARES MECHANICAL ENGINEERING, 17(6 ), 257-264. SID. https://sid.ir/paper/179249/en

Vancouver: Copy

GHAFARI MOHAMMAD HADI, GHANBARZADEH AFSHIN, VALIPOUR CHARDAH CHIRIC ALI. COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES FOR INTELLIGENT FAULTS DIAGNOSIS OF ROTATING MACHINERY. MODARES MECHANICAL ENGINEERING[Internet]. 2017;17(6 ):257-264. Available from: https://sid.ir/paper/179249/en

IEEE: Copy

MOHAMMAD HADI GHAFARI, AFSHIN GHANBARZADEH, and ALI VALIPOUR CHARDAH CHIRIC, “COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES FOR INTELLIGENT FAULTS DIAGNOSIS OF ROTATING MACHINERY,” MODARES MECHANICAL ENGINEERING, vol. 17, no. 6 , pp. 257–264, 2017, [Online]. Available: https://sid.ir/paper/179249/en

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