Practical Application of the TTM, Predictive Maintenance Module (PdM)
https://doi.org/10.17667/riim.2022.1/1.
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Accepted 2022-12-30
Published 2022-12-31
Abstract
The purpose of the paper is to present the connetion between the Total Traceability Management (TTM) software and the technical solutions for predictive maintenance. As a key function of the TTM, the predictive maintenance module is based on conditioning monitoring systems. Sensors for measurement of temperature, color, vibration, force, chemical composition, ultrasound waves, light, dimensional, are developing on the global market as part of the 4th industrial revolution, Industry 4.0. The TTM is combining the factory floor technologies with the informatics systems as ERP, customer portals, and MES, through a specific algorithm and based on PLC and sensorial hardware. The TTM is becoming a mandatory requirement for automotive industry as stated in the new norms of AIAG (Automotive Industry Action Group), VDA (German Association of the Automotive Industry), and JAMA Japan Automobile Manufacturers Association. The approach of this paper is a theoretical presentation of the practical experiments presenting the most modern solution in terms of software, sensorial installations, monitored equipment and the realized outputs. The TTM concept are not yet fully mature, various solutions being deployed on the market with specificities for diverse industries.
References
- Birdsong, J.B., Rummelt, N.I. : "The Hexagonal Fast Fourier Transform", IEEE International Conference on Image Processing (ICIP), pp. 1809–1812, doi:10.1109/ICIP.2016.7532670, (2016)
- Chou, CangLeh, : Wave effects of ultrasonic vibration on machining. The Pennsylvania State University, ProQuest Dissertations Publishing, 9428076, (1994)
- Computerized Maintenance Management Software: https://www.fiixsoftware.com/
- Czichos, H., Habig, K.H.: Tribologie Handbuch: Tribometrie, Tribomaterialien, Tribotechnik, Vieweg+Teubner Verlag, (2010)
- Geng, H.,: Internet of Things and Data Analytics Handbook, 1st edition, WileyVCH, ISBN / ISSN 9781119173649, (2017)
- Ghimisi S.: “Elements of Tribology”, Editor Matrix Rom, (2005)
- H.Mizgan : Executive Investment Committee – Capex Global Review, Romania die casting presentation, 2016
- https://www.ggbearings.com/en/tribou/tribology3
- https://www.lean.org/
- IFM Company IoT provider : https://www.ifm.com/ro/ro/shared/technologien/industrie4.0/industrie40
- Langmann, R., RojasPeña, L., Germany: PLCs as Industry 4.0, Components in Laboratory Applications University of Applied Sciences, Düsseldorf
- Mang, Th., Bobzin, K.: Thorsten Bartels: Industrial Tribology: Tribosystems, Friction, Wear and Surface Engineering, Lubrication, WileyVCH, (2011)
- Mang, Th., et al.: Encyclopedia of Lubricants and Lubrication, Springer Verlag, 2014
- Muller, R.S., Howe, R.T., Senturia, S.D., Smith, R.L., and White, R.M. : Micro sensors, [Eds.], IEEE Press, New York, NY, (1991)
- PricewaterhouseCoopers, : Digital Factories Study – (2020)
- PRIME Faraday Partnership: An Introduction to MEMS, online version ISBN 1844020207, (2021)
- R. Keith Mobley: An Introduction to Predictive Maintenance, Elsevier Science & Technology, 2002
- S. Tavakoli, I Rang, D. Wagner: Thermal behavior study of the mold surface in HPDC process by infrared thermography and comparison with simulation, 12th International Conference on Quantitative Infrared Thermography, France, Bordeaux, 7 11 July 2014 (QIRT 2014)
- Utilization Manuel, FLIR, Oct 2010, French, publ. No. 1558553 Rev. 3483
- Vávra, J., Hromada, M., Jasek, R.: “Specification of the current state vulnerabilities related to industrial control systems”, International Journal of Online Engineering (iJOE), Vol 11, No 5, (2015)
- Womack, J.P., and Jones, D.T.: Lean Thinking, 2nd Edition, Simon & Schuster, Inc., (2003)
- Zezulka, F., Marcon, P., Vesely, I., O. Sajd, O.: Industry 4.0 – An Introduction in the phenomenon, IFAC (International Federation of Automatic Control) Hosting by Elsevier (2016)
