Feasibility study on wheelset fatigue damage with NOFRFs-KL divergence detection method in SIMO

Mao, Hanling; Tang, Weibing; Zhu, Wanying; Gao, Yang; Li, Xinxin; Huang, Zhenfeng; Mao, Hanying; Si, Binqiang

doi:10.1016/j.jsv.2020.115447

Cited by 17 publications

(18 citation statements)

References 17 publications

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“…The matching degree between the referenced probability density distribution f (x i ), i = 1, • • • , N and the target probability density distribution g(x i ), i = 1, • • • , N can be measured by calculating their KL divergence. If the difference between f (x i ) and g(x i ) is larger, their KL divergence D KL ( f g) will be larger [29]. The expression of the KL divergence is given by…”

Section: Improved Wnofrfs Fault Diagnosis Methodsmentioning

confidence: 99%

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The Improved WNOFRFs Feature Extraction Method and Its Application to Quantitative Diagnosis for Cracked Rotor Systems

Liang

Zhao

Chen

et al. 2022

Sensors

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During its operation, a rotor system can be exposed to multiple faults, such as rub-impact, misalignment, cracks and unbalancing. When a crack fault occurs on the rotor shaft, the vibration response signals contain some nonlinear components that are considerably tougher to be extracted through some linear diagnosis methods. By combining the Nonlinear Output Frequency Response Functions weighted contribution rate (WNOFRFs) and Kullback–Leibler (KL) divergence, a novel fault diagnosis method of improved WNOFRFs is proposed. In this method, an index, improved optimal WNOFRFs (IOW), is defined to represent the nonlinearity of the faulty rotor system. This method has been tested through the finite element model of a cracked rotor system and then verified experimentally at the shaft crack detection test bench. The results from the simulation and experiment verified that the proposed method is applicable and effective for cracked rotor systems. The IOW indicator shows high sensitivity to crack faults and can comprehensively represent the nonlinear properties of the system. It can also quantitatively detect the crack fault, and the relationship between the values of IOW and the relative depth of the crack is approximately positively proportional. The proposed method can precisely and quantitatively diagnose crack faults in a rotor system.

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Section: Improved Wnofrfs Fault Diagnosis Methodsmentioning

confidence: 99%

“…The experiments of the plate specimens were conducted to reveal the higher sensitivity of the index Ne. Mao et al [29] introduced Kullback-Leibler (KL) divergence to the NOFRFs to propose the index NOFRFs-KL (NKL) for fatigue damage identification. The effectiveness of NKL was verified by an experiment on a train wheelset.…”

Section: Introductionmentioning

confidence: 99%

The Improved WNOFRFs Feature Extraction Method and Its Application to Quantitative Diagnosis for Cracked Rotor Systems

Liang

Zhao

Chen

et al. 2022

Sensors

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“…Specifically, after long-time and high load working, significant fatigue damage will appear. Then micro-cracks will form and expand into macro cracks, which may cause serious accidents [33]. It is therefore important to conduct non-destructive testing on train wheels to regularly monitor the fatigue damage condition.…”

Section: Application To the Monitoring Of Fatigue Damage Of Train Wheelsmentioning

confidence: 99%

Nonlinear output frequency response functions: A new evaluation approach and applications to railway and manufacturing systems’ condition monitoring

Zhu

Lang

Mao

et al. 2022

Mechanical Systems and Signal Processing

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“…To measure the differences in NOFRFs between damaged systems and healthy systems, some literature has focused on NOFRFs-associated indexes to represent changes in system nonlinear characteristics [18][19][20][21][22][23][24][25][26]. Peng [18] first proposed the concept of NOFRFs-associated indexes.…”

Section: Introductionmentioning

confidence: 99%

“…To construct a more sensitive index, Mao [20] introduced the information entropy theory to NOFRFs and proposed NE for crack damage detection and verified through experiments of the pillar porcelain insulator. By introducing the concept of information entropy, complexity and divergence, Mao [21,22] also constructed NOFRFs frequency domain complexity entropy index IFEn, non-linear scale index NL, NOFRFs divergence index NDI and NOFRFs-KL (NKL), which are more sensitive and more intuitive than Fe in fatigue damage experiments. Liu [23][24][25][26] developed a universal evaluated approach, the NOFRFs weighted contribution rate (WNOFRFs) where indexes Fe and Ne are special cases.…”

Section: Introductionmentioning

confidence: 99%

A quantitative feature extraction method for rotor shaft misalignment based on WNOFRFs

Haiying

Zhao

Liu

et al. 2023

Preprint

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Misalignment is a more commonly encountered malfunction. It generates reaction forces and moments in the coupling and causes the rotor vibrates excessively. Generally, the vibration responses of the shaft misaligned rotor are comprised of nonlinear components. Some widely focused linear feature extraction methods are incapable to extract the key nonlinear information. Nonlinear Output Frequency Response Functions (NOFRFs) weighted contribution rate (WNOFRFs) is a nonlinear feature extraction method developed from NOFRFs, which is a convenient frequency-domain analytical method for nonlinear systems. WNOFRFs have been deeply researched and applied in rotor fault diagnosis. The present research introduces the concept of Kull Back-Leibler (KL) divergence to WNOFRFs to derive an improved nonlinear feature extraction method, the improved WNOFRFs based on KL divergence (INWKL). As a novel indicator extracted by NWKL, KR is denoted and employed to identify rotor shaft misalignment. Dynamic simulation and experimental verification indicate the INWKL method is effective and superior. And KR is more favorable due to its higher sensitivity and comprehensive representation of nonlinear characteristics of rotor shaft misalignment. Moreover, it has strong stability to speed fluctuation and can detect misaligned angles of the rotor system quantitatively.

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Feasibility study on wheelset fatigue damage with NOFRFs-KL divergence detection method in SIMO

Cited by 17 publications

References 17 publications

The Improved WNOFRFs Feature Extraction Method and Its Application to Quantitative Diagnosis for Cracked Rotor Systems

The Improved WNOFRFs Feature Extraction Method and Its Application to Quantitative Diagnosis for Cracked Rotor Systems

Nonlinear output frequency response functions: A new evaluation approach and applications to railway and manufacturing systems’ condition monitoring

A quantitative feature extraction method for rotor shaft misalignment based on WNOFRFs

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