Vol. 9 No. 1 (2022)


Practical application of the TTM, predictive maintenance module (PdM)

Published December 31, 2022
Horia Mizgan
University of Oradea
, Macedo Ganea
University of Oradea
TTM Traceability Predictive Maintenance CMMS AI
How to Cite
Selected stlye: APA
Mizgan, H., & Ganea, M. (2022). Practical application of the TTM, predictive maintenance module (PdM). Recent Innovations in Mechatronics, 9(1). https://doi.org/10.17667/riim.2022.1/1.

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.

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