International Journal of Advances in Electrical Engineering
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P-ISSN: 2708-4574, E-ISSN: 2708-4582

International Journal of Advances in Electrical Engineering


2024, Vol. 5, Issue 1, Part B
An artificial intelligence approach for improving maintenance: Supervising machine failures and supporting repair


Author(s): Sweta S Munnoli and Devi Venkatesh Gowtham

Abstract: In order to keep operations running smoothly and keep output high, maintaining of production equipment is essential. In order to run industrial equipment and effectively prepare for demands for own maintenance assets (spare parts, personnel, funds), it is essential to determine the execution time and appropriately pick the range of maintenance operations. There have been many efforts to simulate and oversee maintenance using artificial intelligence (AI) approaches, and several research have been carried out in the recent decade. The purpose of this essay is to have a conversation on the potential of artificial intelligence methodologies and approaches for failure prediction and proactive maintenance. Improvements in the administration of maintenance tasks are an oblique target of these investigations. Simulations and computer analyses using actual industrial data sets are the primary tools in the toolbox. The key findings demonstrate that a substantial quantity of trustworthy annotated sensor data and properly trained machine-learning algorithms are necessary for the efficient implementation of preventative maintenance. Companies of similar size and with varying production profiles should be able to apply the solutions that have been developed via scientific and technological means. Here, even the article's very basic ideas may be useful, providing great efficiency with cheap implementation costs.

DOI: 10.22271/27084574.2024.v5.i1b.76

Pages: 137-141 | Views: 198 | Downloads: 75

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International Journal of Advances in Electrical Engineering
How to cite this article:
Sweta S Munnoli, Devi Venkatesh Gowtham. An artificial intelligence approach for improving maintenance: Supervising machine failures and supporting repair. Int J Adv Electr Eng 2024;5(1):137-141. DOI: 10.22271/27084574.2024.v5.i1b.76
International Journal of Advances in Electrical Engineering
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