Integrated wheel load measurement for tractors

Peeters, Michael; Kloster, V.; Fedde, Thomas; Frerichs, Ludger

doi:10.51202/9783181023006-423

Cited by 2 publications

(1 citation statement)

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“…Instead, 'nonstationary' specifies that the statistical properties of the random loading (e.g., mean value, root-mean-square value, autocorrelation function) change over time as a consequence, for example, of the different driving conditions, routes (curves, straights, jolts, etc. ), or vehicle usage (e.g., speed, operating modes) [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Analysis of Nonstationary Random Loadings Measured in an Industrial Vehicle Wheel: Uncertainty of Fatigue Damage

Marques

Solazzi

Benasciutti

2022

Metals

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This article presents an application of a method for estimating the inherent statistical variability of the fatigue damage computed in one single nonstationary random time history. The method applies the concept of confidence interval for the damage, which is constructed after the single time history is subdivided into pseudo-stationary segments, with each of them further divided into shorter blocks. As a case study, the method is applied to the strain time histories measured in a wheel of a telescopic handler industrial vehicle. A preliminary screening involving the short-time Fourier transform and the run test is carried out to verify whether the measured time histories are truly nonstationary and fall within the hypotheses of the proposed method. After that, the confidence interval for the unknown expected damage is computed; its upper bound can be used as a safety limit in a structural integrity assessment. The obtained results seem very promising and suggest the possible use of the proposed approach in similar engineering applications.

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Section: Introductionmentioning

confidence: 99%

Fatigue Analysis of Nonstationary Random Loadings Measured in an Industrial Vehicle Wheel: Uncertainty of Fatigue Damage

Marques

Solazzi

Benasciutti

2022

Metals

View full text Add to dashboard Cite

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Aligning process quality and efficiency in agricultural soil tillage

Kazenwadel,

Becker,

Graf

et al. 2023

At - Automatisierungstechnik

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Automation in agricultural machinery is a crucial driver of productivity and sustainability. Some automation features like automated steering and real-time data analytics are already state-of-the-art. On the other hand, a human driver performs the optimization of the working speed manually, and the automation of this is an ongoing challenge. Process quality and process efficiency are the two main targets in this optimization. Agricultural soil tillage requires achieving both. Therefore, the correlation between process quality optimization and process efficiency is fundamental, and vice versa. The approach presented in this paper shows how the two optimization targets of efficiency and process quality can be optimized and aligned together. Optical sensors determine various parameters to describe and model the process quality. The measured machine state determines the characteristics of the interaction forces between the machine and the environment. A machine learning algorithm describes the relationships in the drivetrain. The two process targets are each predicted for different working speeds and are combined in the form of a boundary target and an optimization target to identify one optimized target speed value.

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Integrated wheel load measurement for tractors

Cited by 2 publications

References 0 publications

Fatigue Analysis of Nonstationary Random Loadings Measured in an Industrial Vehicle Wheel: Uncertainty of Fatigue Damage

Fatigue Analysis of Nonstationary Random Loadings Measured in an Industrial Vehicle Wheel: Uncertainty of Fatigue Damage

Aligning process quality and efficiency in agricultural soil tillage

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