Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

Chen, Xuejun; Yang, Yongming; Cui, Zhixin; Shen, Jun

doi:10.1016/j.energy.2019.03.057

Cited by 127 publications

(47 citation statements)

References 36 publications

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“…Compared with the EMD algorithm, the VMD algorithm has a clearer mathematical theory and better noise robustness [ 32 ]. Because of the advantages of the VMD algorithm, the VMD algorithm is widely used in many fields [ 33 , 34 , 35 ].…”

Section: Methodsmentioning

confidence: 99%

A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm

Wang¹,

Gao²,

Wu³

et al. 2020

Entropy

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Fiber optic gyroscope (FOG) is one of the important components of Inertial Navigation Systems (INS). In order to improve the accuracy of the INS, it is necessary to suppress the random error of the FOG signal. In this paper, a variational mode decomposition (VMD) denoising method based on beetle swarm antenna search (BSAS) algorithm is proposed to reduce the noise in FOG signal. Firstly, the BSAS algorithm is introduced in detail. Then, the permutation entropy of the band-limited intrinsic mode functions (BLIMFs) is taken as the optimization index, and two key parameters of VMD algorithm, including decomposition mode number K and quadratic penalty factor α , are optimized by using the BSAS algorithm. Next, a new method based on Hausdorff distance (HD) between the probability density function (PDF) of all BLIMFs and that of the original signal is proposed in this paper to determine the relevant modes. Finally, the selected BLIMF components are reconstructed to get the denoised signal. In addition, the simulation results show that the proposed scheme is better than the existing schemes in terms of noise reduction performance. Two experiments further demonstrate the priority of the proposed scheme in the FOG noise reduction compared with other schemes.

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Section: Methodsmentioning

confidence: 99%

A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm

Wang¹,

Gao²,

Wu³

et al. 2020

Entropy

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show abstract

“…The vibration data of wind turbines are nonlinear and non-stationary. To effectively diagnose faults for wind turbines, Chen et al [145] propose a method based on variational mode decomposition (VMD) and energy entropy. VMD can reflect signal components more accurately than empirical mode decomposition with less modal decomposition layer.…”

Section: Typical Entropy Theories Application On Fault Diagnosis Of Omentioning

confidence: 99%

“…In [159], singular spectrum entropy, power spectrum entropy, and approximate entropy are extracted in vibration signals by Shannon entropy, and the feature fusion model is constructed to classify and diagnose the fault signals. Chen et al [145] variational mode decomposition + energy entropy 3 Tang et al [146] manifold learning + Shannon wavelet support vector machine 4 Xiao et al [147] dual-tree complex wavelet transform + energy entropy 5 Feng et al [148] information entropy + deep belief networks 6 Yin et al [149] time-frequency entropy enhancement + boundary constraint assisted relative gray relational grade 7 Chen et al [150] ensemble multiwavelet + Shannon entropy 8…”

Section: Typical Entropy Theories Application On Fault Diagnosis Of Omentioning

confidence: 99%

Related Entropy Theories Application in Condition Monitoring of Rotating Machineries

Liu

Zhi

Zhang

et al. 2019

Entropy

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Rotating machinery plays an important role in various kinds of industrial engineering. How to assess their conditions is a key problem for operating safety and condition-based maintenance. The potential anomaly, fault and failure information can be obtained by analyzing the collected condition monitoring data of the previously deployed sensors in rotating machinery. Among the available methods of analyzing sensors data, entropy and its variants can provide quantitative information contained in these sensing data. For implementing fault detection, diagnosis, and prognostics, this information can be utilized for feature extraction and selecting appropriate training data for machine learning methods. This article aims to review the related entropy theories which have been applied for condition monitoring of rotating machinery. This review consists of typical entropy theories presentation, application, summary, and discussion.

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“…Some studies on fault diagnosis for gearboxes have validated that the failure of any component in a drive train causes a particular variation in the performance. e source of a gearbox vibration can be reflected by signals of vibration behaviour [5,6,11] and can be captured and displayed by a particular expert system or procedure [12], so it is feasible to research the dynamic performance of a wind turbine drive train by analysing the different vibration signals, such as the time-domain spectrum and meshing frequency spectrum [13,14]. e results derived from various analytical methods and the relevant discussions indicated that many factors can influence the vibration of a wind turbine gearbox.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Parallel-Axis Helix Gear Pair on Wind Turbine Gearbox Vibration Control

Zhang

Chen³

et al. 2020

Shock and Vibration

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This article studies the effects of some basic parameters of a parallel-axis helix gear stage on wind turbine gearbox vibration in a case study: a multibody dynamic model is constructed to simulate the drive train of a faulted multistage wind turbine gearbox with serious vibrations. The significant vibration behaviour of the drive train for typical excitations is calculated, and the results according to specified geometric parameters of the gears are analysed in detail to investigate effective solutions for vibration reduction. The results indicate that the helix angle and numbers of teeth of a gear pair are the most significant factors for solving the problem. The effectiveness of the proposed solutions and relevant mechanisms are discussed and validated by a prototype vibration test.

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Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

Cited by 127 publications

References 36 publications

A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm

A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm

Related Entropy Theories Application in Condition Monitoring of Rotating Machineries

The Effect of Parallel-Axis Helix Gear Pair on Wind Turbine Gearbox Vibration Control

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