An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis

Li, Yongbo; Xu, Min; Yu, Wei; Huang, Wenhu

doi:10.1016/j.measurement.2014.12.021

Cited by 110 publications

(60 citation statements)

References 23 publications

(32 reference statements)

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“…The basis function selection is a key step to construct the rational Hermite interpolation. This paper proposes a four quartic polynomial basis function which has the advantages of simple structure, efficiency of computation and reliable outcomes [10]. Definition 1.…”

Section: Rational Hermite Interpolationmentioning

confidence: 99%

“…Recently, there are many techniques available for the detection of rotating machinery faults, such as EMD [27] and LMD [28]. However, EMD exists many deficiencies such as boundary effect, mode mixing and over-and undershoot problems [10], etc. Compared with EMD, the prominent advantage of LMD is to avoid the Hilbert transform.…”

Section: Application To Rotating Machinery Fault Diagnosismentioning

confidence: 99%

“…Since the IMFs are determined by signal itself, rather than pre-determined kernels, EMD method is a totally self-adaptive signal processing method, which especially suits for processing the non-stationary and nonlinear signals. Although EMD method has been widely applied to various fields, it has many problems such as boundary effect, mode mixing and over-and undershoot problems [10], etc. Furthermore, when we apply Hilbert transform (HT) to each IMF, it usually results in doubtful negative IF [11].…”

Section: Introductionmentioning

confidence: 99%

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A new rotating machinery fault diagnosis method based on improved local mean decomposition

Zhao

et al. 2015

Digital Signal Processing

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Section: Rational Hermite Interpolationmentioning

confidence: 99%

Section: Application To Rotating Machinery Fault Diagnosismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new rotating machinery fault diagnosis method based on improved local mean decomposition

Zhao

et al. 2015

Digital Signal Processing

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“…In the field of signal processing and identification damage methods used includes improved LMD, EMD [2,3], Inverse Optimization [4] and Wavelet Transform (WT). Over the decades, WT is extensively used in different fields of civil engineering study [5,6].…”

Section: Introductionmentioning

confidence: 99%

Vibration-based damage detection of concrete gravity dam monolith via wavelet transform

Vaez¹,

Arefzade²

2017

J. vibroeng.

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Abstract. This study has presented a method to estimate the damage location in the concrete gravity dam monolith. The first four vibration mode of the highest monolith of the Koyna dam was estimated and analyzed by the combined discrete and continuous wavelet transform. The position of the damage scenarios was identified by using bior 3.9 wavelet in the spatial variation of the data response. The sensitivity of wavelet to random signal noise was investigated by using noise to displacement response of cracked monolith. Three noise levels were introduced in the model and the capacity of this method to detect damage from noisy data was discussed.

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“…Among them, the vibration analysis method has been widely applied for diagnosing the rolling bearing fault due to its intrinsic merits of revealing bearing failure [2,3].…”

Section: Introductionmentioning

confidence: 99%

A new gear fault diagnosis method based on improved local mean decomposition

Wei¹,

Li³

2016

Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

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Abstract.A new vibration feature extraction method based on improved local mean decomposition (LMD) is presented in this paper. Local mean decomposition is a novel adaptive time-frequency analysis method, which is widely used in rotating machinery fault diagnosis. However, traditional LMD decomposition results method is sensitive to noise. In order to eliminate influence of noise, Hermite-LMD is introduced. Firstly, the vibration signal is decomposed by Hermite-LMD method. Then, the fault frequency of gear is found through the envelope spectrum analysis of the first PF component. The effectiveness of the proposed method is verified by the simulation data and the practical gear fault diagnosis.

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An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis

Cited by 110 publications

References 23 publications

A new rotating machinery fault diagnosis method based on improved local mean decomposition

A new rotating machinery fault diagnosis method based on improved local mean decomposition

Vibration-based damage detection of concrete gravity dam monolith via wavelet transform

A new gear fault diagnosis method based on improved local mean decomposition

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