Virtual Event
Reducing Downtime: How Software Can Help
February 28, 2023 at
1:00pm ET
On DEMAND VIDEO
Preventing downtime through early detection of bearing faults, using wireless remote condition monitoring
Speakers:
- Jaidev Krishnan, AssetWatch
TOPIC
Preventing downtime through early detection of bearing faults, using wireless remote condition monitoring
Learn how they leveraged predictive analytics to identify early bearing failure by analyzing the data collected from equipment sensors. With using the power of machine learning algorithms, the team identified patterns and anomalies in the data, which indicated potential bearing failures.
This allowed us to provide early warning alerts to the manufacturer, enabling them to take proactive measures to address the issue before it became critical. By predicting bearing failure, it helped the manufacturer avoid costly equipment downtime, saving money in lost production and repair cost.
ABOUT THE AUTHORS
Jaidev Krishnan
Jaidev Krishnan has been working with AssetWatch (formerly Nikola Labs) since 2019, along with the launch of their end-to-end online vibration analysis service. He now leads a team of condition monitoring engineers that provide in-depth prescriptive alerts to over 400 facilities on stationary rotating assets across the United States. He is also responsible for evaluating and adding various condition monitoring techniques to the AssetWatch platform across the P-F curve and eliminating unplanned downtime.
Prior to joining AssetWatch, Jaidev worked with Saint-Gobain Abrasives as an OEM Manager and Sr. Application Engineer for over 5 years. His work with Saint-Gobain was multi-disciplinary including utilizing power and vibration analysis to bring a data-driven approach to problem solving in the manufacturing Industry. He received a Bachelors in Mechanical Engineering (India) and an Masters in Industrial Engineering from North Carolina State University.
