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

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Smart manufacturing embedded systems face signal delays. The delay domain offers a more informative and reliable signal processing method than time or frequency domains for these systems.

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delay domainlow data acquisitionsensor signalssmart manufacturingtime latency

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Area of Science:

  • Engineering
  • Computer Science
  • Signal Processing

Background:

  • Smart manufacturing relies on embedded systems like CNC machines and cyber-physical systems.
  • Signal exchange within these systems introduces time latency, altering signal integrity.
  • Conventional time and frequency domain analyses are insufficient for delay-centric issues.

Purpose of the Study:

  • To investigate the efficacy of the delay domain for signal processing in smart manufacturing.
  • To compare the delay domain against time and frequency domains for signal analysis.
  • To demonstrate the delay domain's potential as a signature for machining situations.

Main Methods:

  • Processing arbitrary signals in time, frequency, and delay domains.
  • Analyzing real-life machining signals using frequency and delay domains.
  • Evaluating signal informativeness and reliability across different domains.

Main Results:

  • The delay domain provides more informative and reliable signal analysis compared to time and frequency domains.
  • Delay domain analysis effectively addresses issues caused by unavoidable signal delays.
  • The delay domain can uniquely characterize specific machining situations.

Conclusions:

  • The delay domain is crucial for robust signal processing in smart manufacturing.
  • Implementing delay domain-based signal processing is essential for optimizing embedded systems.
  • Delay domain analysis enhances the functional capabilities of smart manufacturing technologies.