What is it about?
The goal of this study is to use predictive maintenance using machine learning methods to avert unexpected engine. Predictive Maintenance is the practice of monitoring the status of rotating equipment in order to discover early failures and prevent catastrophic breakdowns in critical components of a manufacturing chain. The implementation of predictive maintenance in machine learning algorithms can be used to perform lifetime detection activities with rotation (rpm) and usage time parameters. Machine learning can make predictions based on a specified data set.
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Why is it important?
In the Industry 4.0 era, the use of digital technologies to improve manufacturing chain efficiency and product quality through connectivity and digitization. Maintenance strives to reduce and eliminate the number of failures that occur during manufacturing. Predictive Maintenance is the practice of monitoring the status of rotating equipment in order to discover early failures and prevent catastrophic breakdowns in critical components of a manufacturing chain.
Perspectives
By implemented machine learning to the maintenance system, we could use the result to enhance the productivity of the main floor
Reza Aulia Rahman
University of Muhammadiyah Malang
Read the Original
This page is a summary of: Vibration analysis and predictive maintenance on gearbox of lathe machine using machine learning, January 2023, American Institute of Physics,
DOI: 10.1063/5.0183426.
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