Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method

The objective of this simulation was to determine the number of measured data sets that will provide an acceptable estimate of the upper quartile hand-arm vibration value for real use of a power tool. Monte Carlo simulations were performed based on the analysis of data sets from the HSE’s hand-arm v...

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Main Author: Paul Pitts
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/86/1/21
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author Paul Pitts
author_facet Paul Pitts
author_sort Paul Pitts
collection DOAJ
description The objective of this simulation was to determine the number of measured data sets that will provide an acceptable estimate of the upper quartile hand-arm vibration value for real use of a power tool. Monte Carlo simulations were performed based on the analysis of data sets from the HSE’s hand-arm vibration database. The simulation used random uniform distribution to generate simulated machine data sets. The simulations showed that for practical measurements, a sample size of between 20 and 30 measurements is likely to achieve a reliable estimate of the upper quartile value.
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spelling doaj.art-06bbd68bbec74958b32ead506b0b5a422023-12-22T14:37:05ZengMDPI AGProceedings2504-39002023-04-018612110.3390/proceedings2023086021Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo MethodPaul Pitts0Health and Safety Executive, Buxton SK17 9JN, UKThe objective of this simulation was to determine the number of measured data sets that will provide an acceptable estimate of the upper quartile hand-arm vibration value for real use of a power tool. Monte Carlo simulations were performed based on the analysis of data sets from the HSE’s hand-arm vibration database. The simulation used random uniform distribution to generate simulated machine data sets. The simulations showed that for practical measurements, a sample size of between 20 and 30 measurements is likely to achieve a reliable estimate of the upper quartile value.https://www.mdpi.com/2504-3900/86/1/21hand-armsimulationmachinereal-useMonte Carlodatabase
spellingShingle Paul Pitts
Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
Proceedings
hand-arm
simulation
machine
real-use
Monte Carlo
database
title Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
title_full Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
title_fullStr Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
title_full_unstemmed Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
title_short Determination of the Number of Measurements Required for 95% Confidence in an Upper Quartile Value of Hand-Arm Vibration Measurement Using the Monte-Carlo Method
title_sort determination of the number of measurements required for 95 confidence in an upper quartile value of hand arm vibration measurement using the monte carlo method
topic hand-arm
simulation
machine
real-use
Monte Carlo
database
url https://www.mdpi.com/2504-3900/86/1/21
work_keys_str_mv AT paulpitts determinationofthenumberofmeasurementsrequiredfor95confidenceinanupperquartilevalueofhandarmvibrationmeasurementusingthemontecarlomethod