International Journal for Research in Applied Science & Engineering Technology (IJRASET)

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue IV Apr 2023- Available at www.ijraset.com

Organisations can go from reactive to proactive maintenance by utilising the power of machine learning, which can greatly increase equipment reliability and lower maintenance costs.

In conclusion, machine learning for predictive maintenance is a potent tool that can assist businesses in improving equipment reliability, cutting down on downtime, and saving money. To ensure success, companies must, however, be equipped to handle the difficulties that come with putting these models into practice as well as successfully interact and communicate with all stakeholders.

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