Advertisement

WITS 2020 pp 125-133 | Cite as

Contribution to the Optimization of Industrial Energy Efficiency by Intelligent Predictive Maintenance Tools Case of an Industrial System Unbalance

Conference paper
  • 14 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 745)

Abstract

Today's industry presents many challenges whose the competitiveness weighs heavily on productivity. The future industry or industry 4.0 requires a new way for organizing industrial processes and must integrate smarter maintenance tools capable of greater adaptability in production. This new organization must respond to competitiveness challenges to achieve customer expectations but with a short deadline to market and an optimized cost production in terms of energy consumed reduced breakdowns, etc. One of the failures encountered in the industry, object of our study, is the unbalance corresponds to a rotor imbalance, shaft … due to the non-coincidence of the principal axe of inertia and the inertia center with the rotation axis. Our contribution is to develop the main components surveillance of an industrial installation continuously and follow the evolution through quantifiable and qualifiable data which allows preventing a dysfunction before stopping the production. This surveillance uses very precise predictive maintenance technologies and can tracks parameters in real time: vibration, consumed energy and the various components temperature.

Keywords

The future industry Predictive maintenance Unbalance Vibration analysis Energy 

References

  1. 1.
    Mukesh PS, Bulsara A (2016) Energy loss due to unbalance in rotor–shaft system. J Eng Des Technol 14(2):277–362Google Scholar
  2. 2.
    Saleem MA, Diwakar G, Satyanarayana MRS (2012) Detection of unbalance in rotating machines using shaft deflection measurement during its operation. J Mech Civ Eng (IOSR-JMCE) 3(3):8–20Google Scholar
  3. 3.
    Elkhatib A (2007) Energy consumption and machinery vibrations. In: International conference on sound and vibrations, ICSV14, Cairns 9–12 July, pp 1–6Google Scholar
  4. 4.
    Ahmat Fadil A (2019) Proposition d’une architecture de surveillance Holonique pour l’aide à la maintenance proactive d’une flotte de systèmes mobiles: application au domaine ferroviaire. Thèse de doctorat, ValenciennesGoogle Scholar
  5. 5.
    Jeffali F, Ouariach A, El Kihel A, Nougaoui A (2019) Infrared thermography-based diagnosis of the impact on the kinematic chain. Mater Today Proc 13:949–955CrossRefGoogle Scholar
  6. 6.
    Abouelanouar B, Elamrani M, Elkihel B, Delaunois F (2018) Application of wavelet analysis and its interpretation in rotating machines monitoring and fault diagnosis. Int J Eng Technol (UAE) 7:3465–3471Google Scholar
  7. 7.
    Bakdid et al (2017) Welding control using ultrasonic multi-elements method. JMES 8:3483–3489Google Scholar
  8. 8.
    Jeffali F, Ouariach A, El Kihel B, Nougaoui A (2019) Diagnosis of three-phase induction motor and the impact on the kinematic chain using non-destructive technique of infrared thermography. J Infrared Phys Technol 102:102970CrossRefGoogle Scholar
  9. 9.
    Bakdid A, El Kihel B, Nougaoui A, Delaunois F (2019) Three-dimensional characterization of weld defects in a steel material. J Eng Appl Sci 14:1928–1932CrossRefGoogle Scholar
  10. 10.
    Bouzidi Z (2018) Pronostic des systèmes industriels basé sur l’intelligence artificielle Maintenance prédictive. thèse de doctorat, Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie Département d’informatique,Université Mohamed Khider—BISKRAGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2022

Authors and Affiliations

  1. 1.Laboratory of Engineering, Industrial Management and Innovation, Faculty of Science and Technology of SettatUniversity Hassan 1erCasablancaMorocco
  2. 2.Laboratory of Productics Energy and Sustainable DevelopmentEST, University Sidi Mohamed Ben AbdellahFezMorocco
  3. 3.Laboratory of Industrial Engineering and Seismic EngineeringNational School of Applied Sciences ENSA-Oujda, Mohammed Premier UniversityOujdaMorocco

Personalised recommendations