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Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
https://kitami-it.repo.nii.ac.jp/records/2000340
https://kitami-it.repo.nii.ac.jp/records/2000340e77da42b-cdf3-4ca8-9842-0663e5cd6e50
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
sensors-21-07336-v2.pdf (9.3 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2022-12-07 | |||||
| タイトル | ||||||
| タイトル | Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者（英） | ||||||
| 姓名 | Sharifu Ura | |||||
| 言語 | en | |||||
| 著者（英） | ||||||
| 姓名 | Angkush Kumar Ghosh | |||||
| 言語 | en | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Abstract: Smart manufacturing employs embedded systems such as CNC machine tools, programable logic controllers, automated guided vehicles, robots, digital measuring instruments, cyberphysical systems, and digital twins. These systems collectively perform high-level cognitive tasks (monitoring, understanding, deciding, and adapting) by making sense of sensor signals. When sensor signals are exchanged through the abovementioned embedded systems, a phenomenon called time latency or delay occurs. As a result, the signal at its origin (e.g., machine tools) and signal received at the receiver end (e.g., digital twin) differ. The time and frequency domain-based conventional signal processing cannot adequately address the delay-centric issues. Instead, these issues can be addressed by the delay domain, as suggested in the literature. Based on this consideration, this study first processes arbitrary signals in time, frequency, and delay domains and elucidates the significance of delay domain over time and frequency domains. Afterward, real-life signals collected while machining different materials are analyzed using frequency and delay domains to reconfirm its (the delay domain’s) significance in real-life settings. In both cases, it is found that the delay domain is more informative and reliable than the time and frequency domains when the delay is unavoidable. Moreover, the delay domain can act as a signature of a machining situation, distinguishing it (the situation) from others. Therefore, computational arrangements enabling delay domain-based signal processing must be enacted to effectively functionalize the smart manufacturing-centric embedded systems. |
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| 言語 | en | |||||
| 書誌情報 |
en : Sensors 巻 21, p. 7336, 発行日 2021 |
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| ISSN | ||||||
| 収録物識別子タイプ | EISSN | |||||
| 収録物識別子 | 1424-8220 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.3390/s21217336 | |||||
| 出版者 | ||||||
| 出版者 | MDPI | |||||
| 言語 | en | |||||
| 著者版フラグ | ||||||
| 言語 | en | |||||
| 値 | publisher | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
