Vibration detection using focus analysis of interferograms

Filipinas, Jae Lord Dexter C.; Almoro, Percival

doi:10.1364/ao.51.001431

Cited by 6 publications

(3 citation statements)

References 21 publications

(25 reference statements)

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“…In terms of analysis tools, with the development of technology, the analysis tools are becoming more advanced and intelligent. From the complicated and functional single entity instruments to the virtual instruments developed with tools such as simulink, LAB-VIEW, MATLAB, etc., the functions are also more advanced [30,31,32].…”

Section: Figure 39 Cross-citation Network Of Related Literaturementioning

confidence: 99%

Evaluation of Domestic and Foreign Research Status in the Field of Engine Vibration Detection by Bibliometrics

Mai¹,

Ye²,

Xiong³

et al. 2023

Preprint

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After long years of development, the technology of analyzing the working condition of power units based on vibration signals has had relatively stable applications, but the accuracy and the degree of automation and intelligence for fault diagnosis are still inadequate due to the limitations of the current development of key technologies. With the development of big data and artificial intelligence technology, the involvement of new technologies will be an important boost to the development of this field. To support the subsequent research, bibliometrics is used as a tool to sort out the development of the technology in this field at the macro level; at the micro level, the classical and key literature is studied to grasp the development status at the technical level and prepare for the selection of entry points to continue in-depth innovation afterwards.

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Section: Figure 39 Cross-citation Network Of Related Literaturementioning

confidence: 99%

Evaluation of Domestic and Foreign Research Status in the Field of Engine Vibration Detection by Bibliometrics

Mai¹,

Ye²,

Xiong³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In terms of analysis tools, with the development of technology, analysis tools are becoming more advanced and intelligent. From the complicated and functional singleentity instruments to the virtual instruments developed with tools such as Simulink, LABVIEW, MATLAB, etc., the functions are also more advanced [33][34][35].…”

Section: Analysis Of the Current State Of Researchmentioning

confidence: 99%

Bibliometric Analysis of Engine Vibration Detection

Xin,

Ye,

Zhang

et al. 2023

Aerospace

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After many years of development, the technology of analyzing the working condition of power units based on vibration signals has received relatively stable applications, but the accuracy and the degree of automation and intelligence for fault diagnosis are still inadequate due to the limitations in the ongoing development of key technologies. With the development of big data and artificial intelligence technology, the involvement of new technologies will be an important boost to the development of this field. In this study, in order to support subsequent research, bibliometrics is used as a tool to sort the development of the technology in this field at the macro level. At the micro level, key publications in the literature are studied to better understand the development status at the technical level and prepare for the selection of entry points to facilitate in-depth innovation in the future.

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“…Although the performance of the system does improve, the computational cost increases and the vertical resolution is the same as any other SFF system. Nevertheless, there have been previous works which include focus measures in interferometric setups for in-focus plane detection [16], for vibration detection [17], among other applications. Based on this idea, we propose a method that consists in applying a focus criterion in WLSI microscopy to achieve the best performance for surfaces with varying roughness and reflectivity.…”

Section: Introductionmentioning

confidence: 99%

Robust 3D surface recovery by applying a focus criterion in white light scanning interference microscopy

2018

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White Light Scanning Interference (WLSI) microscopes provide an accurate surface topography of engineered surfaces. However, the measurement accuracy is substantially reduced in surfaces with low reflectivity regions or high roughness, like a surface affected by corrosion. An alternative technique called Shape from Focus (SFF) takes advantage of the surface texture to recover the 3D surface by using a focus metric through a vertical scan. In this work, we propose a technique called SFF-WLSI, which consists in recovering the 3D surface of an object by applying the Tennegrad Variance (TENV) focus metric to WLSI images. Extensive simulation results show that the proposed technique yields accurate measurements under different surface roughness and surface reflectivity outperforming the conventional WLSI and the SFF techniques. We validated the simulation results on two real objects with a Mirau-type microscope. The first, a flat lapping specimen with R a = 0.05 µm for which we measured an average value of R a = 0.055 µm and standard deviation σ = 0.008 µm. The second, a metallic sphere with corrosion which we reconstructed with WLSI versus the proposed SFF-WLSI technique producing a better 3D reconstruction with less undefined depth values. OCIS codes:http://dx.

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Vibration detection using focus analysis of interferograms

Cited by 6 publications

References 21 publications

Evaluation of Domestic and Foreign Research Status in the Field of Engine Vibration Detection by Bibliometrics

Evaluation of Domestic and Foreign Research Status in the Field of Engine Vibration Detection by Bibliometrics

Bibliometric Analysis of Engine Vibration Detection

Robust 3D surface recovery by applying a focus criterion in white light scanning interference microscopy

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