Multi-criteria decision-making method-based approach to determine a proper level for extrapolation of Rainflow matrix

Wang, J; Hu, J; Wang, N; Yao, Ming; Wang, Z

doi:10.1177/0954406211420212

Cited by 12 publications

(6 citation statements)

References 25 publications

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“…The principles of test criteria are different and can be reflected by different results. Thus, three test criteria are used in the present study: mean deviation in probability distribution function (PDF), Kolmogorov-Smirnov (K-S) test and Chi-Square (χ 2 ) test [25] and [26].…”

Section: Determination Of the Criteriamentioning

confidence: 99%

Determination of the Threshold for Extreme Load Extrapolation Based on Multi-Criteria Decision-Making Technology

Wang¹,

Zhai²,

Liu³

et al. 2017

SV-JME

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The peak over threshold (POT) model is commonly used in extreme load extrapolation. Due to the important role that the threshold plays in establishing a POT model, a method to select the suitable threshold is designed based on multi-criteria decision-making (MCDM) technology. The mean deviation in probability distribution function, Kolmogorov-Smirnov test, and Chi-Square test are employed as the test criteria. An entropy method is applied to obtain the weight values of these tests. The VIKOR method is adopted to obtain compromise solutions according to the corresponding criteria and weight values. The POT requirement is used to determine a suitable threshold. The effectiveness and feasibility of this method are validated by the load time history measured in experiment and generated by simulation. A comparative analysis between this method and two other common methods is also conducted. The proposed method based on MCDM shows better performance. Keywords: peak over threshold (POT), extreme load extrapolation, threshold, multi-criteria decision-making (MCDM), entropy method, VIKOR Highlights • Multi-criteria decision-making technology is adopted. • Simulation is used to show the good performance of the method. • The result is closer to the true threshold value with more intervals. • The superiority of the MCDM method is shown through comparative analysis.

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Section: Determination Of the Criteriamentioning

confidence: 99%

Determination of the Threshold for Extreme Load Extrapolation Based on Multi-Criteria Decision-Making Technology

Wang¹,

Zhai²,

Liu³

et al. 2017

SV-JME

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show abstract

“…In the case of the simulation method based on available data, Wang et al [13] presented a cyclic simulation approach to generate of the non-stationary loading histories of engineering vehicles based on the Markov chain Monte Carlo method. Wang et al [14] extrapolated the Rainflow matrix based on a multi-criteria decision-making method with which the proper upcrossing of the high and low levels was determined. Lin et al [15] compared two data reduction methods based on a simulated staircase test data and two extrapolation methods from shorter fatigue lives, and the results of simulated test were statistically evaluated.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Powertrain Loading Dynamic Characteristics and the Effects on Fatigue Damage

et al. 2017

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Abstract:The objective of this study is to investigate the effects of key factors on the powertrain loading dynamic characteristics and fatigue damage. First, the engine and the transmission output shaft torque of a multi-axle vehicle powertrain system were measured by proving grounds (PG) testing and analyzed with a conclusion that the powertrain loading changes were mainly related to three key factors: the mean engine torque, the harmonic engine torque, and the vibration properties of the system. Subsequently, a dynamic model considering the three factors was built and validated by the test data. Finally, fatigue damage of shaft parts and gear parts were calculated to investigate the influence degrees of the three factors. The results show that, the harmonic engine torque and the vibration properties of the powertrain system have a great influence on the fatigue damage of shaft parts, and the mean engine torque is the main factor causing the fatigue damage of gear parts.

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“…Hence, fatigue failure of the components of wheel loader often occurs. 1 Fatigue life test and prediction based on the load spectra are topics that have received continuous attention. Since the load measurement for wheel loader is very time consuming and of high cost, only short-term load-time histories (L-THs) can be obtained.…”

Section: Introductionmentioning

confidence: 99%

Non-parametric load extrapolation based on load extension for semi-axle of wheel loader

Wang

Jiang

2017

Advances in Mechanical Engineering

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Load extrapolation is the paramount step in compiling load spectra of the mechanical components. To avoid the limitation of the stationary processes in parametric extrapolation methods, the non-parametric extrapolation method is widely investigated in recent years. However, the accuracy of kernel density estimation of the large load cycles in existing non-parametric methods should be still improved. Aiming at this issue, a non-parametric rain-flow extrapolation method based on load extension is presented. In this method, combining with non-parametric extrapolation model and Markov chain Monte Carlo method, the measured load-time histories for semi-axle in different operating sections are extended and extrapolated. The extrapolated load spectra curves and the relative damage ratio are compared with the results obtained by the existing rain-flow extrapolation methods. The results show that the proposed method can realize the reasonable extrapolation of load-time histories.

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Multi-criteria decision-making method-based approach to determine a proper level for extrapolation of Rainflow matrix

Cited by 12 publications

References 25 publications

Determination of the Threshold for Extreme Load Extrapolation Based on Multi-Criteria Decision-Making Technology

Determination of the Threshold for Extreme Load Extrapolation Based on Multi-Criteria Decision-Making Technology

Analysis of Powertrain Loading Dynamic Characteristics and the Effects on Fatigue Damage

Non-parametric load extrapolation based on load extension for semi-axle of wheel loader

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