Noise in the Cabin of Agricultural Tractors

Barač, Željko; Plaščak, Ivan; Jurišić, Mladen; Tadić, Vjekoslav; Duvnjak, Vinko

doi:10.17559/tv-20170223093448

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…Singh et al [29] stated that the coefficient of determination ranged from 0.82 to 0.90 (which is a similar case here as well) and highlighted the speed of movement as a variable with significant impact on ergonomic factors. Furthermore, Lashgari and Maleki [40], in their study of the influence of different speeds when mowing grass with a tractor mower on the produced noise level, stated that the coefficient of determination R 2 was 0.957, which is also the case in the research of Barac et al [19], where noise was measured at the operator's workplace in relation to the age of the tractor. In the aforementioned research, a lower coefficient of determination (R 2 = 0.675), was achieved.…”

Section: Resultsmentioning

confidence: 80%

“…The tests were performed according to standards that considered internal noise measurements during movement, and the tractor had 5800 operating hours at the time of measurement. Barač et al [18,19] conducted noise level measurement during operation (when standing and moving) on three FENDT tractors (model 410). During the exploitation experiment, the tractors performed similar agrotechnical operations and had the same number of working hours.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Noise Levels According to Some Exploitation Parameters of an Agricultural Tractor: A Machine Learning Approach

Barač,

Radočaj,

Plaščak

et al. 2024

AgriEngineering

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The paper presents research on measuring and the possibility of prediction of noise levels on the left and right sides of the operator within the cabin of an agricultural tractor when moving across various agrotechnical surfaces, considering movement velocity and tire pressures while employing machine learning techniques. Noise level measurements were conducted on a LANDINI POWERFARM 100 type tractor, and aligned with standards (HRN ISO 5008, HRN ISO 6396 and HRN ISO 5131). The obtained noise values were divided into two data sets (left and right set) and processed using multiple linear regression (mlr) and three machine learning methods (gradient boosting machine (gbm); support vector machine using radial basis function kernel (svmRadial); monotone multi-layer perceptron neural network (monmlp)). The most accurate method, considering surfaces, from the left side data set—(R2 0.515–0.955); (RMSE 0.302–0.704); (MAE 0.225–0.488)—and the right side—(R2 0.555–0.955); (RMSE 0.180–0.969); (MAE 0.139–0.644)—was monmlp predominantly, and to a lesser extent svmRadial. On analyzing the total data sets from the left and right sides regarding surfaces, gbm emerged as the most accurate method. The application of machine learning methods demonstrated data accuracy, yet in future research, measurements on certain surfaces may need to be repeated multiple times potentially to improve accuracy further.

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Section: Resultsmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Prediction of Noise Levels According to Some Exploitation Parameters of an Agricultural Tractor: A Machine Learning Approach

Barač,

Radočaj,

Plaščak

et al. 2024

AgriEngineering

View full text Add to dashboard Cite

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“…These authors concluded that the interior noise level of the cab was moderated by using adequate absorbing and isolating materials for a defined frequency range, and lower interior noise levels were achieved by using elastic suspension between the tractor chassis and the cab. Analyzing the interior noise levels in cab tractors over three different manufactured years, Barač et al (2018) showed that none produced a higher noise level than the permitted 90 dB.…”

Section: Introductionmentioning

confidence: 99%

Occupational noise level exposures outside and inside agricultural tractor cabs

Souza¹,

Junior²,

Silva³

et al. 2023

OLEL

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The farm tractor fleet in the Brazilian market has increased. They are machines known to emit much noise. Noise can cause severe damage and disturbance in people who work directly with and around these machines. Therefore, the work aimed to evaluate the noise levels emitted by two cab farm tractors of different engine power, analyzing the effect of engine speed and distance radius from the noise source on occupational health. The noise level outside and inside of the tractor cab, the attenuation index, and the noise level reduction provided by the cab sound insulation were determined. Attenuation indexes and noise reduction ratings were satisfactory in studying the noise levels inside and outside the tractor cab. The tractor with the most power in the engine has better sound insulation compared to those lowest power. The noise levels that operators are exposed to in the cab were lower than the limits established by Brazilian government laws. On the other hand, outside the cab, the noise levels emitted by the tractor of greater power are not safe for the workers' health if they are at a distance radius from the noise source of less than 7 m, requiring the use of an ear protector.

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“…They experimentally verified a defined vibration model and a parametric analysis. Barač et al [9] researched generated noise in the cabin of agricultural tractors. Caresta et al [10] study a relationship between natural frequencies and a pull out force for plates with two clamped edges.…”

Section: Introductionmentioning

confidence: 99%

Modal Properties of Bolted Housing depending on the Methodology of a Solution of Bolted Joints

et al. 2021

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This paper presents the research of modal characteristics of the bolted housing. The aim of the research was to find out the impact of the methodology of the solution of bolted joints on modal characteristics of the bolted housing of the gearbox unit. Results of research can be applied to bolted housings of any machineries. An impact of bolted joints and their modal properties was also the subject of research. The first three analyses focused on an application of various approximations of bolted joints. The analysis of their substitution by a simplified 3D geometry was solved. The second analysis focused on an application of Beam elements and the third one focused on substitution by bonded contact types. The fourth analysis regarded housing as one body without bolted joints. The impact on modal properties of pre-stress load in joints was researched. The housing was also loaded by the torque moment of an electric motor by means of bearing reactions and also the weight of the motor and brakes mounted to the housing. The article also deals with the efficiency of individual methods regarding the calculation time.

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Noise in the Cabin of Agricultural Tractors

Cited by 5 publications

References 3 publications

Prediction of Noise Levels According to Some Exploitation Parameters of an Agricultural Tractor: A Machine Learning Approach

Prediction of Noise Levels According to Some Exploitation Parameters of an Agricultural Tractor: A Machine Learning Approach

Occupational noise level exposures outside and inside agricultural tractor cabs

Modal Properties of Bolted Housing depending on the Methodology of a Solution of Bolted Joints

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