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Active Condition Monitoring for Accurate Predictive Maintenance

Oct 01, 2021

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Abhijit Kardekar
Associate Director – Projects, LTM
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Pratap Sanap
Associate Principal – Data Sciences, LTM

Enhancing Industrial Efficiency with Condition Monitoring and Predictive Maintenance

In the era of smart manufacturing, condition monitoring plays a crucial role in ensuring seamless operations by continuously tracking machine health. By leveraging predictive maintenance, manufacturers can foresee potential failures, reducing costly downtime and optimizing asset utilization. Traditional maintenance approaches often lead to unexpected breakdowns or premature part replacements, affecting overall efficiency. However, integrating real-time data analytics with condition monitoring enables proactive decision-making, ensuring maximum equipment uptime. As industries embrace smart manufacturing, the synergy between condition monitoring and predictive maintenance is transforming operations, driving productivity, and reducing maintenance costs across asset-intensive sectors.

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Case Study
calendar June 3, 2024
Modernize Your Workloads on Snowflake with PolarSled
David Althoff
Chief Business Officer, Insurance

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