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2022 | OriginalPaper | Chapter

3. Signal Processing for Digital Twin

Authors : Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Published in: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

Publisher: Springer International Publishing

Abstract

The previous chapter discussed the importance and role of sensors in manufacturing. With the data in hand, one needs to process it for extracting meaningful information.

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previous chapter Sensor Electronics for Digital Twin

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Mishra D, Sahu SK, Mahto RP, et al (2019) Friction stir welding for joining of polymers. Springer Singapore, pp 123–162

Mishra D, Roy RB, Dutta S et al (2018) A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0. J Manuf Process 36:373–397. https://doi.org/10.1016/j.jmapro.2018.10.016 CrossRef

Sahu SK, Mishra D, Mahto RP et al (2018) Friction stir welding of polypropylene sheet. Eng Sci Technol an Int J 21:245–254. https://doi.org/10.1016/j.jestch.2018.03.002 CrossRef

Mishra D, Pal SK, Chakravarty D (2021) Industry 4.0 in welding, pp 253–298

Instruments N data acquisition card. https://www.ni.com/en-in/shop/data-acquisition.html

ADLINK data acquisition card. https://www.adlinktech.com/en/Data_Acquisition.aspx

Padmanabhan TR (2000) Process instrumentation i temperature. In: Industrial instrumentation. Springer London, pp 420–459

Smith SW (2003) ADC and DAC. In: Digital signal processing. Elsevier, pp 35–66

Nyquist’s sampling theorem. https://www.cs.cf.ac.uk/Dave/Multimedia/node149.html

10.

Wikipedia Arduino. https://en.wikipedia.org/wiki/Arduino#:~:text=MostArduinoboardsconsistof,memory%2Cpins%2Candfeatures.&text=Arduinomicrocontrollersarepre-programmed,theon-chipflashmemory

11.

Mishra D, Shree S, Gupta A et al (2021) Weld defect localization in friction stir welding process. Weld World 65:451–461. https://doi.org/10.1007/s40194-020-01028-5 CrossRef

12.

Mallat S (2009) A wavelet tour of signal processing

13.

Gao RX, Yan R (2011) Wavelets: theory and applications for manufacturing. Wavel Theory Appl Manuf 1–224. https://doi.org/10.1007/978-1-4419-1545-0

14.

Pal SK, Kharagpur T (2008) Development and validation of varioys soft computing based models for pulsed by Sukhomay Pal

15.

Pal K, Bhattacharya S, Pal SK (2010) Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding. J Mater Process Technol 210:1397–1410. https://doi.org/10.1016/j.jmatprotec.2010.03.029 CrossRef

16.

Tam J (2005) Methods of characterizing gas-metal arc welding acoustics for process automation

17.

Saini D, Floyd S (1998) An investigation of gas metal arc welding sound signature for on-line quality control high-speed signal data acquisition and computer-aided analysis of sound signature may reveal conditions that generate weld defects, pp 172–179

18.

Pal K, Pal SK (2011) Monitoring of weld penetration using arc acoustics. Mater Manuf Process 26:684–693. https://doi.org/10.1080/10426910903496813 CrossRef

19.

Tarn T-J, Chen S-B, Fang G (2011) Robotic welding, intelligence and automation. Springer, Berlin, Heidelberg

20.

Smith SW (2003) The discrete fourier transform. In: Digital signal processing. Elsevier, pp 141–168

21.

Engelberg S (2008) Digital signal processing. Springer, London MATH

22.

Smith SW (2003) The fast fourier transform. In: Digital signal processing. Elsevier, pp 225–242

23.

Roy RB, Ghosh A, Bhattacharyya S, et al (2018) Weld defect identification in friction stir welding through optimized wavelet transformation of signals and validation through X-ray micro-CT scan. Int J Adv Manuf Technol 99:623–633. https://doi.org/10.1007/s00170-018-2519-3

24.

Sundararajan D (2015) Discrete wavelet transform. Wiley, Singapore

25.

Gröchenig K (2001) The short-time fourier transform. pp 37–58

26.

Cohen L (2001) The uncertainty principle for the short-time fourier transform and wavelet transform. In: Wavelet transforms and time-frequency signal analysis. Birkhäuser Boston, Boston, MA, pp 217–232

27.

Kumari S, Jain R, Kumar U, et al (2016) Defect identification in friction stir welding using continuous wavelet transform. J Intell Manuf 1–12. https://doi.org/10.1007/s10845-016-1259-1

28.

Kumar U, Yadav I, Kumari S et al (2015) Defect identification in friction stir welding using discrete wavelet analysis. Adv Eng Softw 85:43–50. https://doi.org/10.1016/j.advengsoft.2015.02.001 CrossRef

29.

Mishra D, Gupta A, Raj P et al (2020) Real time monitoring and control of friction stir welding process using multiple sensors. CIRP J Manuf Sci Technol. https://doi.org/10.1016/j.cirpj.2020.03.004 CrossRef

Title: Signal Processing for Digital Twin
Authors: Surjya Kanta Pal
Debasish Mishra
Arpan Pal
Samik Dutta
Debashish Chakravarty
Srikanta Pal
Publisher: Springer International Publishing
Book: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
Print ISBN: 978-3-030-81814-2

Electronic ISBN: 978-3-030-81815-9

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-81815-9_3

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