A new short-time procedure for fatigue life evaluation based on the linear damage accumulation by Palmgren–Miner

Weber, Fabian; Wu, Haoran; Starke, Peter

doi:10.1016/j.ijfatigue.2023.107653

Cited by 12 publications

(2 citation statements)

References 19 publications

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“…Damage accumulation theory-based prediction methods [9,10] Material mechanics-based prediction methods [11][12][13] Data-driven models…”

Section: Physical Modelsmentioning

confidence: 99%

Research on bearing remaining useful life anti-noise prediction based on fusion of color-grayscale time-frequency features

Jia,

An,

et al. 2024

Meas. Sci. Technol.

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In contemporary industrial processes, vibration signals collected from bearings often contain significant noise, challenging the efficacy of conventional predictive models in extracting critical degradation features and accurately predicting the remaining useful life (RUL) of bearings. Addressing these challenges, this paper introduces a novel method for predicting bearing RUL under noisy conditions, leveraging a dual-branch multi-scale convolutional attention network (DMCSA) integrated with a dense residual feature fusion network (DRF). Initially, the method applies continuous wavelet trans-form (CWT) to vibration signals to extract color time-frequency image data, followed by grayscale processing to construct a comprehensive color-grayscale time-frequency image dataset, thereby augmenting the model's input features. Enhanced channel and spatial attention mechanisms, combined with multi-scale convolutions, facilitate supe-rior feature extraction and selection. The model's resilience to noise is fortified by in-corporating noise into the training dataset. Subsequently, selected color-gray time-frequency features undergo fusion and relearning through the DRF framework at the model's backend. The crayfish optimization algorithm (COA) is deployed for the astute determination of the model's critical hyperparameters. The proposed DMCSA-DRF model is then applied to predict the health indicator (MSCA-DRF-HI) of the test dataset, culminating in the accurate prediction of the bearings' RUL. Validation experiments demonstrate that our method surpasses comparative models in prediction accuracy un-der diverse noise interferences, signifying a substantial advancement in predictive performance.

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“…Damage accumulation theory-based prediction methods [9,10] Material mechanics-based prediction methods [11][12][13] Data-driven models…”

Section: Physical Modelsmentioning

confidence: 99%

Research on bearing remaining useful life anti-noise prediction based on fusion of color-grayscale time-frequency features

Jia,

An,

et al. 2024

Meas. Sci. Technol.

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“…The aim of these methods was to improve the representation of the transition areas of the S-N curve. The department of materials science and materials testing at the University of Applied Sciences Kaiserslautern has already developed a number of short-time procedures over recent years, such as SteBLife, StrainLife, and MiDAc-Life, which can be found in [20][21][22][23][24]. The StressLife method described in this paper differs from the other methods because the fatigue properties are described by an elastic-plastic approach, whereas SteBLife and MiDAc-Life are only based on an elastic and linear approach, respectively.…”

Section: Introductionmentioning

confidence: 99%

StressLife: A Short-Time Approach for the Determination of a Trend S-N Curve in and beyond the HCF Regime for the Steels 20MnMoNi5-5 and SAE 1045

Weber

Koziol²,

Starke

2023

Materials

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Within the scope of this research, a new short-time procedure designated as StressLifeHCF was developed. Through a combination of classic fatigue testing and non-destructive monitoring of the material response due to cyclic loading, a process-oriented fatigue life determination can be carried out. A total of two load increases and two constant amplitude tests are required for this procedure. By using data from non-destructive measurements, the parameters of the elastic approach according to Basquin and the plastic approach according to Manson–Coffin were determined and combined within the StressLifeHCF calculation. Furthermore, two additional variations of the StressLifeHCF method were developed in order to be able to accurately describe the S-N curve over a wider range. The main focus of this research was 20MnMoNi5-5 steel, which is a ferritic-bainitic steel (1.6310). This steel is widely used for spraylines in German nuclear power plants. In order to validate the findings, tests were also performed on an SAE 1045 steel (1.1191).

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Enhancing Fatigue Performance of Thermal Spray Coated Titanium Alloy by Shot Peening Before Grit Blasting

Dong,

Lu,

Zhang

et al. 2024

J Therm Spray Tech

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A new short-time procedure for fatigue life evaluation based on the linear damage accumulation by Palmgren–Miner

Cited by 12 publications

References 19 publications

Research on bearing remaining useful life anti-noise prediction based on fusion of color-grayscale time-frequency features

Research on bearing remaining useful life anti-noise prediction based on fusion of color-grayscale time-frequency features

StressLife: A Short-Time Approach for the Determination of a Trend S-N Curve in and beyond the HCF Regime for the Steels 20MnMoNi5-5 and SAE 1045

Enhancing Fatigue Performance of Thermal Spray Coated Titanium Alloy by Shot Peening Before Grit Blasting

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