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The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys

Research article (The International Journal of Advanced Manufacturing Technology, 2023) · cited 11× · AI/ML
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The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys

Summary

The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys is a scholarly article[1].

Key Facts

  • The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-use-of-wavelet-transform-to-evaluate-the-sensitivity-of-acoustic-emission-signals-attributes-to-variation-of-cutting
MLA “The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-use-of-wavelet-transform-to-evaluate-the-sensitivity-of-acoustic-emission-signals-attributes-to-variation-of-cutting.
BibTeX @misc{4ortxyz_the-use-of-wavelet-transform-to-evaluate-the-sensitivity-of-acoustic-emission-signals-attributes-to-variation-of-cutting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys}}, year = {2026}, url = {https://4ort.xyz/entity/the-use-of-wavelet-transform-to-evaluate-the-sensitivity-of-acoustic-emission-signals-attributes-to-variation-of-cutting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys — https://4ort.xyz/entity/the-use-of-wavelet-transform-to-evaluate-the-sensitivity-of-acoustic-emission-signals-attributes-to-variation-of-cutting (retrieved 2026-05-24)

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