Evaluation of Whole Body Vibration (WBV) of Dumper Operators Based on Job Cycle

Jeripotula, Sandeep Kumar; Manglapady, Aruna; Mandela, Govinda Raj

doi:10.1007/s42461-019-00140-5

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…WBV exposure of workers comprises a complex interaction of several parameters. In various studies on WBV exposure of HEMM operators in the mining industry [11,[18][19][20][21][22], several factors have been identified to have an association with the WBV exposure [23][24][25][26][27][28]. A few studies found that vibration magnitude depended on the particular type of vehicle [25,[28][29][30].…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Multiple Machine Learning Algorithms to Predict Whole-Body Vibration Exposure of Dumper Operators in Iron Ore Mines in India

Upadhyay

Senapati

Bhattacherjee

et al. 2021

ijsmr

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Background: This study deals with some factors that influence the exposure of whole-body vibration (WBV) of dumper operators in surface mines. The study also highlights the approach to improve the multivariate linear analysis outcomes when collinearity exists between certain factor pairs. Material and Methods: A total number of 130 vibration readings was taken from two adjacent surface iron ore mines. The frequency-weighted RMS acceleration was used for the WBV exposure assessment of the dumper operators. The factors considered in this study are age, weight, seat backrest height, awkward posture, the machine age, load tonnage, dumper speed and haul road condition. Four machine learning models were explored through the empirical training-testing approach. Results: The bootstrap linear regression model was found to be the best model based on performance and predictability when compared to multiple linear regression, LASSO regression, and decision tree. Results revealed that multiple factors influence WBV exposure. The significant factors are: weight of operators (regression coefficient β=-0.005, p<0.001), awkward posture (β=0.033, p<0.001), load tonnage (β=-0.026, p<0.05), dumper speed (β=0.008, p<0.001) and poor haul road condition (β=0.015, p<0.001). Conclusion: The bootstrap linear regression model produced efficient results for the dataset which was characterized by collinearity. WBV exposure is multifactorial. Regular monitoring of WBV exposure and corrective actions through appropriate prevention programs including the ergonomic design of the seat would increase the health and safety of operators.

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Section: Introductionmentioning

confidence: 99%

A Comparison of Multiple Machine Learning Algorithms to Predict Whole-Body Vibration Exposure of Dumper Operators in Iron Ore Mines in India

Upadhyay

Senapati

Bhattacherjee

et al. 2021

ijsmr

View full text Add to dashboard Cite

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“…The above-stated research results with considerable variation in root-mean-square (rms) and Vibration-Dose Value (VDV) value while studying the complete range of operations of the excavator. Therefore, few studies suggested to break up a job into small segments to find considerable contribution of each section on the overall vibration exposure (Jeripotula et al, 2020; Mandal and Mansfield, 2016; Smets et al, 2010). Therefore, functions of this equipment are divided into three parts to complete the operation such as Swing Motion (SM), Propel-Drive Motion (PDM), and Front-Manipulator Motion (FMM).…”

Section: Introductionmentioning

confidence: 99%

Excavator driver seat occupational comfort assessment with Lumbar Support Cushion

Ramar

Kumaraswamidhas

2021

Journal of Vibration and Control

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The operators of excavators often suffer from dreadful Whole-Body Vibration. Besides, the operators are subject to postural instability which is considered to be a serious occupational health hazard. The main objective of this study is to investigate the role of Lumbar Support Cushion in mitigation of Whole-Body Vibration and postural instability under three different operating conditions such as Front-Manipulator Motion, Swing Motion and Propel-Drive Motion. The obtained Vibration Dose Value reveals a significant difference between the operation cycle ( p < 0.001). Moreover, across the operation cycle with Lumbar Support Cushion a significant decrease in Vibration Dose Value (8) is observed on the operator seat-pan and backrest ( p < 0.05). Further, the effect of Whole-Body Vibration on physiological stress factors, a significant decrease in systolic blood pressure by 1.26%, pulse rate by 2.75% and Rate Pressure Product by 4%, is observed with the use of Lumbar Support Cushion ( p < 0.05) during the operation. The Lumbar Support Cushion helps in promoting a symmetric seating posture, and using Lumbar Support Cushion could help the excavator operator to increase in productivity during shift hour.

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Whole Body Vibration Impact Assessment on Dumper Operator Using Computational Learning Technique

Ramar

Kumaraswamidhas

Balaji

et al. 2022

Int. J. Precis. Eng. Manuf.

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Evaluation of Whole Body Vibration (WBV) of Dumper Operators Based on Job Cycle

Cited by 7 publications

References 21 publications

A Comparison of Multiple Machine Learning Algorithms to Predict Whole-Body Vibration Exposure of Dumper Operators in Iron Ore Mines in India

A Comparison of Multiple Machine Learning Algorithms to Predict Whole-Body Vibration Exposure of Dumper Operators in Iron Ore Mines in India

Excavator driver seat occupational comfort assessment with Lumbar Support Cushion

Whole Body Vibration Impact Assessment on Dumper Operator Using Computational Learning Technique

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