Optimal SES Selection Based on SVD and Its Application to Incipient Bearing Fault Diagnosis

Rotating machinery has extensive industrial applications, and rolling element bearing (REB) is one of the core parts. To distinguish the incipient fault of bearing before it steps into serious failure is the main task of condition monitoring and fault diagnosis technology which could guarantee the r...

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Bibliographic Details
Published inShock and vibration Vol. 2018; no. 2018; pp. 1 - 13
Main Authors Liu, Xiaolin, Chen, Runlin, Cui, Yahui, Li, Longlong
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
Hindawi Limited
Wiley
Subjects
Accelerated life tests
Accelerated tests
Algorithms
Condition monitoring
Decomposition
Fault detection
Fault diagnosis
Industrial applications
Kurtosis
Machinery
Methods
Noise
Reliability aspects
Roller bearings
Rotating machinery
Rotation
Sensors
Signal processing
Singular value decomposition
Spectrum analysis
Vibration
Wavelet transforms
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Summary:Rotating machinery has extensive industrial applications, and rolling element bearing (REB) is one of the core parts. To distinguish the incipient fault of bearing before it steps into serious failure is the main task of condition monitoring and fault diagnosis technology which could guarantee the reliability and security of rotating machinery. The early defect occurring in the REB is too weak and manifests itself in heavy surrounding noise, thus leading to the inefficiency of the fault detection techniques. Aiming at the vibration signal purification and promoting the potential of defects detection, a new method is proposed in this paper based on the combination of singular value decomposition (SVD) technique and squared envelope spectrum (SES). The kurtosis of SES (KSES) is employed to select the optimal singular component (SC) obtained by applying SVD to vibration signal, which provides the information of the REB for fault diagnosis. Moreover, the rolling bearing accelerated life test with the bearing running from normal state to failure is adopted to evaluate the performance of the SVD-KSES, and results demonstrate the proposed approach can detect the incipient faults from vibration signal in the natural degradation process.
ISSN:1070-9622
1875-9203
DOI:10.1155/2018/8067416