Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing

Smart manufacturing employs embedded systems such as CNC machine tools, programable logic controllers, automated guided vehicles, robots, digital measuring instruments, cyber-physical systems, and digital twins. These systems collectively perform high-level cognitive tasks (monitoring, understanding...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sharifu Ura, Angkush Kumar Ghosh
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sensor signals smart manufacturing time latency low data acquisition delay domain Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/9d830267b06f4e9ea9af5e3601374b1e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9d830267b06f4e9ea9af5e3601374b1e
record_format	dspace
spelling	oai:doaj.org-article:9d830267b06f4e9ea9af5e3601374b1e2021-11-11T19:16:53ZTime Latency-Centric Signal Processing: A Perspective of Smart Manufacturing10.3390/s212173361424-8220https://doaj.org/article/9d830267b06f4e9ea9af5e3601374b1e2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7336https://doaj.org/toc/1424-8220Smart manufacturing employs embedded systems such as CNC machine tools, programable logic controllers, automated guided vehicles, robots, digital measuring instruments, cyber-physical 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.Sharifu UraAngkush Kumar GhoshMDPI AGarticlesensor signalssmart manufacturingtime latencylow data acquisitiondelay domainChemical technologyTP1-1185ENSensors, Vol 21, Iss 7336, p 7336 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sensor signals smart manufacturing time latency low data acquisition delay domain Chemical technology TP1-1185
spellingShingle	sensor signals smart manufacturing time latency low data acquisition delay domain Chemical technology TP1-1185 Sharifu Ura Angkush Kumar Ghosh Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
description	Smart manufacturing employs embedded systems such as CNC machine tools, programable logic controllers, automated guided vehicles, robots, digital measuring instruments, cyber-physical 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.
format	article
author	Sharifu Ura Angkush Kumar Ghosh
author_facet	Sharifu Ura Angkush Kumar Ghosh
author_sort	Sharifu Ura
title	Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
title_short	Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
title_full	Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
title_fullStr	Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
title_full_unstemmed	Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
title_sort	time latency-centric signal processing: a perspective of smart manufacturing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9d830267b06f4e9ea9af5e3601374b1e
work_keys_str_mv	AT sharifuura timelatencycentricsignalprocessingaperspectiveofsmartmanufacturing AT angkushkumarghosh timelatencycentricsignalprocessingaperspectiveofsmartmanufacturing
_version_	1718431600299999232

Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing

Ejemplares similares