HOW AI CAN IMPROVE CONDITION MONITORING TO SERVE PRESCRIPTIVE MAINTENANCE

ABSTRACT

It is no longer a promise or a current trend; Diagnosis via artificial intelligence is a reality today! Discover the benefits behind the data analysis process and participate in the maintenance revolution you've always heard about but never tried. The AZIMA platform, part of Fluke Reliability, provides cutting-edge
tools to process data in a truly unique way.
By utilizing AI algorithms, AZIMA can quickly analyze vast amounts of data from sensors and other sources to identify potential issues and anomalies in equipment before they cause costly downtime. This proactive approach to maintenance can save businesses significant time and money, as well as improve
overall equipment reliability.

Some of the key benefits of using AI for diagnosis include:
- Early detection of equipment failures: By analyzing data in real-time, AI can detect patterns and trends that indicate potential problems before they occur. This allows maintenance teams to take proactive measures to address issues before they lead to downtime.
- Reduced manual labor: AI can automate the data analysis process, freeing up maintenance teams to focus on more strategic tasks. This can lead to increased efficiency and productivity in the maintenance department.
- Improved accuracy: AI algorithms are able to process and analyze large amounts of data with a high level of accuracy, reducing the risk of human error in diagnosis.
- Cost savings: By identifying potential issues early on, businesses can avoid costly repairs and downtime.

This can result in significant cost savings over time.
Overall, using AI for diagnosis in maintenance can help businesses improve equipment reliability, reduce downtime, and increase efficiency. Take advantage of the benefits of AI-powered diagnostics with AZIMA today!

BIO

LUCA BARRACO

Mechanical Engineer with a solid background in condition monitoring, Luca has started his career in Pruftechnik as Field Service. Keeping passion on application, Luca rapidly has moved in sales and now working with his establish team in Italy and Iberia to support majority of Industries in order to improve maintenance strategy with integration of Condition Monitoring expertise.