Multi-source integrated fusion for surface measurement

Xiang, Bingfei; Li, Yingguang; Chen, Gengxiang; Liu, Xu; Yang, Wenjun

doi:10.1007/s00170-020-05619-w

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…As such, a coin can provide various opportunities to challenge the capability of a coordinate measurement technique, including data fusion algorithms used in this process [100]. Additionally, coins with different materials and worn WLS Simple to implement [39] Low efficiency [59]; incapable of large-scale data fusion [60]; not ideal for fusing data of highly complex surface [62] Forbes [39], Ren et al [58] User-independent Machine learning Does not require user-defined mathematical models, as it learns the patterns in the input data autonomously [98]; able to fuse data that cannot be described with user-defined mathematical models [94]; robust against noise in data fusion [92]; high effectiveness [79] Applications surfaces lead to different optical reflectivity conditions, which can influence the data collected by optical sensors [101]. Therefore, a coin is also an effective object to test the robustness and stability of a data fusion algorithm in coordinate measurement processes.…”

Section: Discussion On Methodology: Test Objectsmentioning

confidence: 99%

“…Yu et al [59] commented that, although the WLS method is capable of multi-sensor data fusion, showing a noticeable reduction of the measurement uncertainty; these algorithms are still unable to provide comparable accuracy to GP algorithms unless a large number of contact points have been measured, which limits the efficiency of the algorithms. Xiang et al [60] pointed out that the performance of WLS algorithms is comparable to that of GP algorithms only when processing homogenous datasets, and they are not suitable to fuse datasets collected from large-scale surfaces (e.g. surfaces of major parts on the body of an aircraft or rocket [61]).…”

Section: Wls Algorithmsmentioning

confidence: 99%

“…However, the measured part can have highly complex geometric features-more complex than those that GP and WLS algorithms are able to model. This limitation is particularly notable in the implementation of WLS algorithms, as presented in Section 4.2 by [59,60,62]. The surface geometries can be far more complex than the mathematical equations can model, which is the general limitation for user-dependent algorithms, as [87,88] indicate.…”

Section: Advantages and Limitations Of User-dependent And -Independen...mentioning

confidence: 99%

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Applications of data fusion in optical coordinate metrology: a review

Zhang

Catalucci

Thompson

et al. 2022

Int J Adv Manuf Technol

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Data fusion enables the characterisation of an object using multiple datasets collected by various sensors. To improve optical coordinate measurement using data fusion, researchers have proposed numerous algorithmic solutions and methods. The most popular examples are the Gaussian process (GP) and weighted least-squares (WLS) algorithms, which depend on user-defined mathematical models describing the geometric characteristics of the measured object. Existing research on GP and WLS algorithms indicates that GP algorithms have been widely applied in both academia and industry, despite their use being limited to applications on relatively simple geometries. Research on WLS algorithms is less common than research on GP algorithms, as the mathematical tools used in the WLS cases are too simple to be applied with complex geometries. Machine learning is a new technology that is increasingly being applied to data fusion applications. Research on this technology is relatively scarce, but recent work has highlighted the potential of machine learning methods with significant results. Unlike GP and WLS algorithms, machine learning algorithms can autonomously learn the geometrical features of an object. To understand existing research in-depth and explore a path for future work, a new taxonomy of data fusion algorithms is proposed, covering the mathematical background and existing research surrounding each algorithm type. To conclude, the advantages and limitations of the existing methods are reviewed, highlighting the issues related to data quality and the types of test artefacts.

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Section: Discussion On Methodology: Test Objectsmentioning

confidence: 99%

Section: Wls Algorithmsmentioning

confidence: 99%

Section: Advantages and Limitations Of User-dependent And -Independen...mentioning

confidence: 99%

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Applications of data fusion in optical coordinate metrology: a review

Zhang

Catalucci

Thompson

et al. 2022

Int J Adv Manuf Technol

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“…Ren et al [18] put up a multi-sensor fusion system to efficiently measure multi-scale complex surfaces by integrating the technical advantages of CMM and photometric stereo. Xiang et al [19] proposed a fusion measurement system that can eliminate system errors. The system is composed of a laser scanner and a touching probe.…”

Section: Introductionmentioning

confidence: 99%

Development and Application of Blade Inspection System Based on Multi-Optical Sensor Fusion

2023

IJOMAM

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Blades are critical components that determine the energy conversion efficiency of an aeroengine. The size of the blade profile and the surface quality must meet the requirements of high strength and reliability. Therefore, precision inspection and quality control are important in manufacturing and assembly. However, the technical characteristics of blades, such as complex profile, thin and distorted structure, high manufacturing accuracy and so on, make the measurement of blades difficult. Existing measurement and inspection methods based on highprecision three-coordinate measurement machine (CMM) and a single optical sensor have obvious technical limitations, which are difficult to satisfy of rapid measurement speed, high accuracy and data integrity of aviation blade profile, and more difficult to achieve accurate measurement of the inlet and exhaust edges. In view of the above problems, this paper studies the measurement method of aviation blade based on the fusion of optical sensors with different principles, and gives full play to the advantages of holographic interferometry and structural scanning, and develops a set of precise and rapid three-dimensional measurement system of aviation blade based on the combination of fringe projection profilometry and conoscopic holography. The measurement experiments and results show that the developed measurement system has high measurement speed and accuracy, and has great potential for popularization and application.

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