PSD-based parallelism measurement method of guideway and uncertainty evaluation

Abstract This study proposes a method for measuring guide rail parallelism based on position-sensitive detectors (PSDs), establishing a comprehensive uncertainty assessment framework. Parallelism errors are calculated using the public benchmark method and least squares fitting, with uncertainty components quantified via a dissemination of the value of quantity model. The reliability of the assessment is verified using the Monte Carlo method, yielding a 95% confidence interval of 10.0–14.0 μm. The innovative introduction of a conjugate prior Bayesian framework enables dynamic updating of repeatability uncertainty, reducing the expanded uncertainty by 10% (from 2.0 μm to 1.8 μm, k = 2). Comparative laser interferometer experiments demonstrate that while the interferometer offers higher precision (0.8 μm), the PSD system maintains 1.8 μm accuracy at a 33% lower cost (from ¥300 000 to ¥200 000). It supports 8 h of operation without an external power supply, offering superior portability and industrial adaptability.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-09-17
DOI
https://doi.org/10.1088/1361-6501/ae080d
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.73
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article

PSD-based parallelism measurement method of guideway and uncertainty evaluation

Yaru Li, Yu-Min Cheng, Di Xie, Bin Shen et al.
1 citations
Measurement Science and Technology
Advanced Measurement and Detection Methods
0.73
article

PSD-based parallelism measurement method of guideway and uncertainty evaluation

Yaru Li, Yu-Min Cheng, Di Xie, Bin Shen, Bo Tang, Yueyao Wang, Yuebing Sha
article en
1 citations

Abstract

Abstract This study proposes a method for measuring guide rail parallelism based on position-sensitive detectors (PSDs), establishing a comprehensive uncertainty assessment framework. Parallelism errors are calculated using the public benchmark method and least squares fitting, with uncertainty components quantified via a dissemination of the value of quantity model. The reliability of the assessment is verified using the Monte Carlo method, yielding a 95% confidence interval of 10.0–14.0 μm. The innovative introduction of a conjugate prior Bayesian framework enables dynamic updating of repeatability uncertainty, reducing the expanded uncertainty by 10% (from 2.0 μm to 1.8 μm, k = 2). Comparative laser interferometer experiments demonstrate that while the interferometer offers higher precision (0.8 μm), the PSD system maintains 1.8 μm accuracy at a 33% lower cost (from ¥300 000 to ¥200 000). It supports 8 h of operation without an external power supply, offering superior portability and industrial adaptability.

Measurement Science and TechnologyVol. 36(9)
Zhejiang Institute of Metrology (CN), Hangzhou Institute of Applied Acoustics (CN), China Jiliang University (CN)
Openalex Percentile: Top 23%
Advanced Measurement and Detection Methods
0.73
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PSD-based parallelism measurement method of guideway and uncertainty evaluation — Yaru Li, Yu-Min Cheng, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS