Author:
Kanchana S.,Rajan Dhivya,Mahaveerakannan R.,Sagar K. V. Daya,Subramanian P.,Rajakumar B.
Publisher
Springer Nature Singapore
Reference25 articles.
1. Aksa K, Aitouche S, Bentoumi H, Sersa I (2021) Developing a web platform for the management of the predictive maintenance in smart factories. Wireless Pers Commun 119(2):1469–1497
2. Hassankhani Dolatabadi S, Budinska I (2021) Systematic literature review predictive maintenance solutions for SMEs from the last decade. Machines 9(9):191
3. Fernandes J, Reis J, Melão N, Teixeira L, Amorim M, (2021) The role of Industry 4.0 and BPMN in the arise of condition-based and predictive maintenance: a case study in the automotive industry. Appl Sci 11(8):3438
4. Drakaki M, Karnavas YL, Tzionas P, Chasiotis ID (2021) Recent developments towards industry 4.0 oriented predictive maintenance in induction motors. Proced Comp Sci 180:943–949
5. Mourtzis D, Angelopoulos J, Panopoulos N (2021) Design and development of an IoT enabled platform for remote monitoring and predictive maintenance of industrial equipment. Proced Manuf 54:166–171