Rolling Bearing Performance State Assessment Based on the Composite Multiscale Slope Entropy

Zhang, Jinbao; Zhang, Jinle; Wang, Min; Wei, Ran

doi:10.1007/978-981-16-7381-8_61

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…So far, many features are extracted for representing the BPD of bearings, in which entropy has shown great advantages and numerous investigations including signals preprocessing and modifications are conducted [2]. For example, Zhang et al employed the composite multi-scale slope entropy for performance state assessment of bearings [3]; Cheng et al proposed the grey entropy for bearing performance degradation evaluation [4]. Among the entropy values proposed, bubble entropy is almost free of parameters [5].…”

Section: Introductionmentioning

confidence: 99%

Bearing Performance Degradation Assessment with RCMRBE Based on Teager Energy Operator

Li,

Zhang,

Zhang

et al. 2024

Frontiers in Artificial Intelligence and Applications

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A new entropy named refined composite multi-scale reverse bubble entropy (RCMRBE) is proposed in this paper for bearing performance degradation (BPD) assessment. Firstly, Teager energy operator (TEO) was employed for enhancement of the fault information in vibration signals. Secondly, RCMRBE values were extracted from enhanced vibration signals concerning different bearing status, and the RCMRBE values at the first or second scale were selected as the bearing performance degradation indicators (PDIs) based on the correlations with time. Finally, a group of the life-cycle bearing tests were employed for verification. The results show that the proposed approach could clearly demonstrate the degradation process of bearing performance with time, which illustrates the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Bearing Performance Degradation Assessment with RCMRBE Based on Teager Energy Operator

Li,

Zhang,

Zhang

et al. 2024

Frontiers in Artificial Intelligence and Applications

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“…27 At present, there are some problems, such as the lack of fine-grained symbolic entropy division, parameter selection based mainly on experience, failure to consider multiscale situations, and lack of adaptive capability for multiple fault types in rolling bearings, all of which limit the development of symbolic entropy analysis of complex systems. Slope entropy 28,29 is a measure developed from symbol entropy. Considering the amplitude, it can reduce the noise interference.…”

Section: Introductionmentioning

confidence: 99%

Rolling bearing state assessment based on the composite multiscale weight slope entropy and hierarchical prototype-based approach

Zhang¹,

Pan

Zhang³

et al. 2022

Advances in Mechanical Engineering

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To evaluate the state of rolling bearing more accurately, a new feature called composite multiscale weight slope entropy was proposed for the complexity measurement of vibration signals. On the basis of analyzing the fault signal structure, the new feature could consider the influence of the nonlinearity, the multiscale characteristics, the fluctuation of the amplitude, and the amplitude itself on the fault signals. In the following, different fault types and the corresponding damage degree of rolling bearings were identified with the hierarchical prototype-based approach. Compared with the results of different modified slope entropy, it is shown that composite multiscale weight slope entropy could significantly improve the identification accuracy. In the two designed testing schemes, ten and sixty state types of rolling bearings are respectively calculated, and the identification accuracy could reach up to 100% and 96.5% respectively, which illustrate the effectiveness and the validity of the proposed approach.

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Rolling Bearing Performance State Assessment Based on the Composite Multiscale Slope Entropy

Cited by 2 publications

References 16 publications

Bearing Performance Degradation Assessment with RCMRBE Based on Teager Energy Operator

Bearing Performance Degradation Assessment with RCMRBE Based on Teager Energy Operator

Rolling bearing state assessment based on the composite multiscale weight slope entropy and hierarchical prototype-based approach

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