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Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining

https://doi.org/10.1016/j.measurement.2020.107478
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32/32 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 32 checked references that resolve
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Wear performance of nano-engineered boron doped graded layer CVD diamond coated cutting tool for machining of Al-SiC MMC
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Impact of supercritical carbon dioxide cooling with Minimum Quantity Lubrication on tool wear and surface integrity in the milling of AISI 304L stainless steel
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Investigating galling wear behaviour in sheet metal stamping using acoustic emissions
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Investigation of Coated Cutting Tool Performance during Machining of Super Duplex Stainless Steels through 3D Wear Evaluations
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Detailed analysis of microstructure of intentionally formed built-up edges for improving wear behaviour in dry metal cutting process of steel
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Investigating the effects of cutting parameters on the built-up-layer and built-up-edge formation during the machining of AISI 310 austenitic stainless steels
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A preliminary study on the role of acoustic emission on inferring Cerchar abrasivity index of rocks using artificial neural network
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Dynamic in-process characterization method based on acoustic emission for topographic assessment of conventional grinding wheels
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A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission
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Analysis of acoustic emission during abrasive waterjet machining of sheet metals
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Surface quality monitoring based on time-frequency features of acoustic emission signals in end milling Inconel-718
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Application of acoustic emission sensor to investigate the frequency of tool wear and plastic deformation in tool condition monitoring
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Determining surface roughness of machining process types using a hybrid algorithm based on time series analysis and wavelet transform
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Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining
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Advancement of an intelligent system based on ANFIS for predicting machining performance parameters of Inconel 690 – A perspective of metaheuristic approach
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A review on the progress towards improvement in surface integrity of Inconel 718 under high pressure and flood cooling conditions
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Acoustic emission signal source separation for a flank wear estimation of drilling tools
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Method of Controlling Cutting Tool Wear Based on Signal Analysis of Acoustic Emission for Milling
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Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations
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The 6 references without a DOI — listed, not checked
no DOI — not checkedOn the effects of a built-up edge on acoustic emission in metal cutting
no DOI — not checkedUse of acoustic emission and cutting force signals to monitor built-up edge formation in stainless steel turning
no DOI — not checkedTool condition monitoring and remaining useful life prognostic based on awireless sensor in dry milling operations
no DOI — not checkedPerformance analysis of AlTiN/AlCrN coating on cemented carbide cutting tool using fuzzy logic analysis
no DOI — not checkedISO 3685:1993(en), Tool-life testing with single-point turning tools n.d. https://www.iso.org/obp/ui/#iso:std:iso:3685:ed-2:v1:en (accessed 2.12.19).
no DOI — not checkedL. Blunt (Liam), X. Jiang, Advanced techniques for assessment surface topography : development of a basis for 3D surface texture standards “Surfstand”; Kogan Page Science, 2003.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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