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

Wang, Jixin; Li, Yan; Jiang, Zhujin

doi:10.1177/1687814017690073

Cited by 4 publications

(5 citation statements)

References 28 publications

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“…Ma et al 27 accurately estimated the probability density distribution of train bogies under different operating conditions by diffusion kernel density. Wang et al 28 evaluated the load distribution of loader half-axles based on nonparametric kernel density. The estimation results of the nonparametric load distribution are susceptible to the choice of bandwidth.…”

Section: Related Workmentioning

confidence: 99%

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

Shen,

Li,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The load spectrum of rotary drilling rig’s drill pipe is used for drill pipe design, simulated fatigue testing, and reliability assessment. However, the proper extrapolation of the drill pipe double load is challenging, especially to meet the requirements of both load sequence and load strengthening. In this paper, an extrapolation technique for a double load of drill pipe is proposed. The time sequence rainflow counting technique is proposed to keep the torque and pressure sequence. Meanwhile, the individual distributions of the loads are accurately estimated. Finally, the torque and pressure are simulated and extrapolated by the percentile extrapolation method. The results show that the proposed extrapolation method for maintaining the load sequence enriches the dynamics and diversity of the loads while ensuring the load sequence.

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Section: Related Workmentioning

confidence: 99%

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

Shen,

Li,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

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show abstract

“…It is effective for univariate data, but the computation is excessive, especially to change the full local bandwidth adaptively. 45 A transformation KDE is developed to handle heavy-tailed data. It lacks a reasonable estimate of the extremely heavy load density as it applies to moderate extremes.…”

Section: Diffusion-based Kernel Density Estimationmentioning

confidence: 99%

“…The extrapolation quality is also evaluated by the pseudo-damage ratio C of the load spectrum before and after extrapolation. 45 It can be calculated by…”

Section: Case Studymentioning

confidence: 99%

An extrapolation framework for torque spectrum of excavator internal combustion engine via bivariate diffusion-based kernel density estimation

Shen

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The torque extrapolation of the excavator internal combustion engine (ICE) is unknown and challenging. In this paper, an extrapolation framework for ICE torque of excavator is proposed. Data pre-processing, distribution estimation, load extrapolation, and damage evaluation are included in the framework. In estimating measurements, bivariate diffusion-based kernel density estimation is used to obtain the probability density. The cumulative cycle frequency and pseudo damage are compared with the results obtained by the other extrapolation methods. The results show that the proposed method can realize reasonable extrapolation. This extrapolation process can provide a reference for other engineering equipment in cyclic operation.

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“…So far several advanced methods of LS extrapolation have been elaborated (Wang, 2016), including parametric extrapolation methods and, in particular, the Extreme-Value Extrapolation Method (Johannesson, 2006), nonparametric extrapolation methods (Wang et al ,2017; Dressler et al , 1996) and quantile extrapolation methods (Socie and Pompetzki, 2004). Using those methods and based on the results of operational load measurements, various standard LSs (i.e.…”

Section: Introductionmentioning

confidence: 99%

Close-proximity, conservative extrapolation of load spectra

Rodzewicz

2022

AEAT

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Purpose The purpose of this paper is to present the author’s method of conservative load spectrum (LS) derivation and close-proximity LS extrapolation applying a correction for measurement uncertainty caused by too low sampling frequency or signal noise, which may affect the load histories collected during the flying session and cause some recorded load increments to be lower than the actual values. Design/methodology/approach Having in mind that the recorded load signal is burdened with some measurement error, a conservative approach was applied during qualification of the recorded values into 32 discrete load-level intervals and derivation of 32 × 32 half-cycle arrays. A part of each cell value of the half-cycle array was dispersed into the neighboring cells placed above by using a random number generator. It resulted in an increase in the number of load increments, which were one or two intervals higher than those resulting from direct data processing. Such an array was termed a conservative clone of the actual LS. The close-proximity approximation consisted of multiplication of the LSs clones and their aggregation. This way, the LS for extended time of operation was obtained. The whole process was conducted in the MS Excel environment. Findings Fatigue life calculated for a chosen element of aircraft structure using conservative LS is about 20%–60% lower than for the actual LS (depending on the applied value of dispersion coefficients used in the procedure of LSs clones generation). It means that such a result gives a bigger safety margin when operational life of the aircraft is estimated or when the fatigue test for an extended operational period is programed based on a limited quantity of data from a flying session. Originality/value This paper presents a proposal for a novel, conservative approach to fatigue life estimation based on the short-term LS derived from the load signal recorded during the flying session.

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

Cited by 4 publications

References 28 publications

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

An extrapolation framework for torque spectrum of excavator internal combustion engine via bivariate diffusion-based kernel density estimation

Close-proximity, conservative extrapolation of load spectra

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