Preventive Maintenance

Machinery/Building Products/Manufacturer

Nowadays, production requires some machines and cells. The data collected for actual monitoring may be evaluated to improve assets’ management and avoid machine failure. Data scientists use machine knowledge and find out the reasons for failure to make meaningful predictions.

Data process indicates the use of different temperatures and vibrations in data manufacturing for the prediction of failure. After tracing deviations against optimum machine performance, engineers may take critical preventive measures. These prove helpful to avoid significant failure.

Benefits for the company

Operational efficiency is an important area to impact the profitability of any business. Big data allows us to assess and evaluate production procedures, respond to customer feedback proactively, and anticipate the demands of the future.



Type of expertise/ AI domain

Machine Learning and Statistics

Internal data required

Monitoring Performance Data

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