Gage R&amp;R studies in measurement system analysis: A systematic literature review

Soares, Williane de Oliveira Silva; Peruchi, Rogério Santana; Silva, Rômulo Augusto Ventura; Rotela, Paulo

doi:10.1080/08982112.2022.2069505

Cited by 7 publications

(1 citation statement)

References 58 publications

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“…However, qualitative analysis cannot provide specific and detailed information, nor can it reflect the subtle differences between sensors. Gage repeatability and reproducibility (Gage R&R) is a pivotal technique in statistical process control that evaluates the capability of a measurement system which is regarded as a quantitative method, providing a quantitative description of repeatability and reproducibility applicable to the evaluation of measurement capability [12]. Asplund and Lin [13] conducted a Gage R&R study to evaluate the capability of the wheel profile measurement system in CBM applications.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach to evaluate the measurement capability and acceptability of acoustic emission sensors

Chen,

Lin,

Chen

et al. 2023

Meas. Sci. Technol.

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Acoustic Emission (AE) is a pivotal technique in Condition-based Maintenance (CBM) and recent years have witnessed a significant surge in the deployment of AE sensors in industrial applications. With this increase in availability, there comes a substantial challenge: evaluating the measurement capability of sensor within specific applications. As such, this study identifies a critical need for a structured approach to evaluate the measurement capabilities of AE sensors and subsequently judge their acceptability against guideline criteria. To address this need, we present an integrated approach that systematically guides the capability evaluation of AE sensors, incorporating both qualitative and quantitative analyses. The qualitative analysis aims to scrutinize the accuracy of sensors by assessing the detectability of features critical for diagnostics. The quantitative analysis leverages the Gage Repeatability and Reproducibility (Gage R&R) to statistically evaluate sensor characteristics. A comprehensive experimental study further investigates the impact of measurement sources on the sensors' accuracy, repeatability, and reproducibility. This study illustrates the qualitative findings regarding sensor accuracy in both time and frequency domains, revealing promising performance in diagnostic-based evaluations. In quantitative analysis, we demonstrate the results of sensor capability in terms of repeatability and reproducibility, providing the variations of different sources in statistics-based evaluations. We thoroughly investigate the influence of significant factors, quantifying their contributions to sensor’s measurement capability. Furthermore, we introduce metrics designed to assess sensor’s acceptability, according to explicit acceptance and rejection criteria. Our experimental results affirm that Root Mean Square (RMS) measurements are within acceptable ranges for both sensors, while Spectral Entropy (SE) measurements for PK15I sensor satisfy the acceptable level. For HZ136I sensor, however, SE measurements are deemed conditionally acceptable. Ultimately, the proposed approach provides a robust framework for the comprehensive evaluation of AE sensor measurement capabilities, offering invaluable guidance for sensor selection and enhancement in industrial applications.

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Section: Introductionmentioning

confidence: 99%