Statistical point cloud model to investigate measurement uncertainty in coordinate metrology

Senin, Nicola; Catalucci, Sofia; Moretti, Michèle; Leach, Richard

doi:10.1016/j.precisioneng.2021.01.008

Cited by 24 publications

(16 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GUM method is followed to estimate uncertainty in measurement. Angle measurement model considered in this studyis expressed asfollows [15] Y= X + K CAL + K PROB + K READ + K TEMP + K L (5) Where X is a measured angle value, K CAL is the calibration error, K PROB is probing error, K READ is the reading error, K TEMP is temperature difference and K L is the distance error.…”

Section: Resultsmentioning

confidence: 99%

“…Branko [13] investigated the effect of environment temperature on measurement uncertainty in CMM measurements and results show that temperature has significant effect dimensional measurement and less effect on roundness measurement.Płowucha [14]presented a point to straight line distance model to evaluate the measurement uncertainty using CMM. Senin et al [15]proposed a statistical model with of Monte Carlo simulation to estimate the measurement uncertainty in coordinate measuring system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Uncertainty in Angle Measurement performed on a Coordinate Measuring Machine

Rajamani¹,

Vignesh²,

Mouliprasanth³

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

View full text Add to dashboard Cite

Coordinate Measuring Machine (CMM) is a universally accepted instrument that is widely used for inspection in industries and laboratories. Evaluation of uncertainty in dimensional measurement is very important for any measurement process. The components and the parts of the mechanical systems must have the accurate dimensions to meet the functional requirements. The environmental conditions and measurement methodhighly influence the accuracy of measurement process.This paper focuses on estimating the uncertaintyin angle measurementscarried out using CMM. In this study, anglegauge blocks are used as the reference materials for assessing the uncertainty in measurement using a CMM. An uncertainty estimation is carried out according to the guide to the expression of uncertainty in measurement (GUM). The influence of position accuracy, environment temperature, vibration, measurement and probing strategies are analysed and uncertainty in angle measurement is estimated as 40 arc seconds.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Uncertainty in Angle Measurement performed on a Coordinate Measuring Machine

Rajamani¹,

Vignesh²,

Mouliprasanth³

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

View full text Add to dashboard Cite

show abstract

“…In the practice of healthcare [1], reliability [2], education [3], hydrology [4], management [5], metrology [6], and sports sciences [7], statistical modeling and predicting real-life events are very crucial. Numerous statistical models (traditional/classical and modified distributions) have been suggested to model data in these sectors.…”

Section: Introductionmentioning

confidence: 99%

“…e traditional exponential, Rayleigh, Weibull, and other extended lifetime distributions belong to the class defined in equation (5) (see [22]). In link to equation (5), the PDF w(y; Δ) is given by w(y; Δ) � m(y; Δ)e − M(y;Δ) , y ∈ R, (6) where d/dyM(y; Δ) � m(y; Δ).…”

Section: Introductionmentioning

confidence: 99%

A New Alpha Power Weibull Model for Analyzing Time-to-Event Data: A Case Study from Football

Shengjie

Craig

Tekle³

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Statistical methodologies have wider applications in exercise science, sports medicine, sports management, sports marketing, sports science, and other related sciences. These methods can be used to predict the winning probability of a team or individual in a match, the number of minutes that an individual player will spend on the ground, the number of goals to be scored by an individual player, the number of red/yellow cards that will be issued to an individual player or a team, etc. Keeping in view the importance and applicability of the statistical methodologies in sport sciences, healthcare, and other related sectors, this paper introduces a novel family of statistical models called new alpha power family of distributions. It is shown that numerous properties of the suggested method are similar to those of the new Weibull-X and exponential type distributions. Based on the novel method, a special model, namely, a new alpha power Weibull distribution, is studied. The new model is very flexible because the shape of its probability density function can either be right-skewed, decreasing, left-skewed, or increasing. Furthermore, the new distribution is also able to model real phenomena with bathtub-shaped failure rates. Finally, the usefulness/applicability of the proposed distribution is shown by analyzing the time-to-event datasets selected from different football matches during 1964–2018.

show abstract

“…Precision animal husbandry refers to the scientific breeding and management of live animals by arranging regular daily ration based on information technology. As an important aspect of intelligent agriculture, precision animal husbandry can improve the output benefit of animal husbandry products and ensure product quality and safety [1][2][3][4]. Large-scale, standardized breeding can effectively improve the output and profit of pigs, cattle, and sheep.…”

Section: Introductionmentioning

confidence: 99%

Parameter Measurement of Live Animals Based on the Mirror of Multiview Point Cloud

Zhang

Qin

Wang

2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Scale and standardization are essential to the prosperity of the breeding industry. During large-scale, standardized breeding, the selective breeding of good livestock breeds hinges on the accurate measurement of body parameters for live animals. However, the complex shooting environment brings several urgent problems, such as the missing of many local data in the point cloud and the difficulty in the automatic acquisition of body data. To solve these problems, this paper proposes a method for parameter measurement of live animals based on the mirror of multiview point cloud. Firstly, the acquisition and stitching principles were given for the multiview point cloud data on body parameters of live animals. Next, the authors presented a way to make up for the data missing areas in the point cloud. Finally, this paper acquires the body mirror data of live animals and scientifically calculates the body parameters. The proposed measurement method was proved effective through experiments.

show abstract

Statistical point cloud model to investigate measurement uncertainty in coordinate metrology

Cited by 24 publications

References 46 publications

Evaluation of Uncertainty in Angle Measurement performed on a Coordinate Measuring Machine

Evaluation of Uncertainty in Angle Measurement performed on a Coordinate Measuring Machine

A New Alpha Power Weibull Model for Analyzing Time-to-Event Data: A Case Study from Football

Parameter Measurement of Live Animals Based on the Mirror of Multiview Point Cloud

Contact Info

Product

Resources

About