Skidder Operator Vibration Exposure

Šušnjar, Marijan; Pandur, Zdravko; Zečić, Željko; Kopseak, Hrvoje; Bačić, Marin

doi:10.1007/978-3-030-66937-9_3

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In operations that use the grapple skidder, Šušnjar et al [84] evaluated whole-body vibration in two grapple skidders, with different accumulated hours of use, that worked in logging in Croatia. For this evaluation, there was no standard measurement time, covering only the machine elements of the operating cycle.…”

Section: Discussionmentioning

confidence: 99%

Measurement Time in the Evaluation of Whole-Body Vibration: The Case of Mechanized Wood Extraction with Grapple Skidder

Lima,

Minette,

Simões

et al. 2023

Forests

View full text Add to dashboard Cite

The grapple skidder is a self-propelled forestry machine that is used for the extraction of trees in wood harvesting—commonly used in full tree systems. Moving this machine can expose operators to occupational hazards of physical origin, among which whole body vibration stands out. However, the measurement of this risk agent does not have a standard measurement time, being performed for periods of approximately 30 min—disregarding the time of the daily workday. In view of this, it was analyzed whether occupational exposure to whole body vibration transmitted to grapple skidder operators using different measurement times complies with the guidelines for preventative purposes. Thus, measurements of whole-body vibration were carried out along three orthogonal axes over a period of one hour and over a daily workday of eight hours—by which were measured the daily (8 h) vibration exposure for the l-axis and the vibration value. The acceleration values in the three evaluated axes were higher for the daily working day, denoting the influence of the measurement time. In addition, the vibration dose value resulted in values above the action limit for both evaluations; however, the daily workload was highlighted—indicating the presence of higher vibration peaks over a longer measurement time. Thus, the assertiveness and influence of measurement times over the daily working day for whole-body vibration transmitted to grapple skidder operators is evidenced.

show abstract

Section: Discussionmentioning

confidence: 99%

Measurement Time in the Evaluation of Whole-Body Vibration: The Case of Mechanized Wood Extraction with Grapple Skidder

Lima,

Minette,

Simões

et al. 2023

Forests

View full text Add to dashboard Cite

show abstract

Evaluation and Prediction of Vibration Comfort in Engineering Machinery Cabs Using Random Forest with Genetic Algorithm

Zhao,

Yin,

Chen

et al. 2024

SAE Int. J. Veh. Dyn., Stab., and NVH

View full text Add to dashboard Cite

<div>Vibration comfort is a critical factor in assessing the overall performance of engineering machinery, with significant implications for operator health and safety. However, current evaluation methods lack specificity for construction machinery, impeding accurate prediction of vibration comfort and hindering the optimization of noise, vibration, and harshness (NVH) performance. To address this challenge, this article proposes a model that combines a random forest with a genetic algorithm (GA-RF) to enable rapid and accurate prediction of vibration comfort in construction machinery cabins. The approach begins with an improved objective evaluation methodology for extracting key features from vibration signals at five measurement points: seat, floor, back, and left and right armrests. Additionally, subjective evaluation technology, combining semantic differential and rating scales, is employed to capture operators’ personal comfort perceptions. The implementation of the GA-RF model constructs a nonlinear mapping between vibration characteristics and perceived comfort, significantly enhancing the precision and efficiency of the vibration comfort evaluation process. Testing indicates that the objective evaluation method effectively refines vibration data features relevant to practical engineering applications. The proposed GA-RF model demonstrates robust predictive capabilities. These results provide valuable insights for the evaluation and enhancement of vibration comfort in the engineering machinery sector, laying a substantial foundation for future research and application.</div>

show abstract

Skidder Operator Vibration Exposure

Cited by 2 publications

References 9 publications

Measurement Time in the Evaluation of Whole-Body Vibration: The Case of Mechanized Wood Extraction with Grapple Skidder

Measurement Time in the Evaluation of Whole-Body Vibration: The Case of Mechanized Wood Extraction with Grapple Skidder

Evaluation and Prediction of Vibration Comfort in Engineering Machinery Cabs Using Random Forest with Genetic Algorithm

Contact Info

Product

Resources

About