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On Demand Until September 29, 2021 Abstract: Remotely monitoring and managing thermal systems performance is the new mandate. But many legacy maintenance teams are thinly staffed, lack thermal domain expertise, and have gotten very good at reacting to rising unplanned downtime incidents. In tough times, this culture is driving many companies to the brink of failure. The advent of low-cost wireless technologies, near plug-and-play implementation, asset historians, and analytics models are driving the industry towards remote, automated, predictive maintenance programs that will increase asset reliability, shorten maintenance times, boost safety and quality, reduce maintenance costs and much more. Learning objectives: - How Big Data, the Internet of Things and Predictive Analytics improve thermal equipment reliability and reduce maintenance costs.
- How to identify and stop DRIP (Data Rich, Information poor) situations.
- Tapping into existing combustion controls for wealth of hidden information.
- Optimizing the balance between reliability, safety, efficiency, and capacity.
- Review analytics use cases that have driven better performance/outcomes.
Can't attend live? Register to view the webinar on-demand!
Speaker Dale Smith Growth Leader for Digitalization / Energy Transition Solutions Honeywell Thermal Solutions Dale has over 25 years of experience in driving global safety, reliability, sustainability, and engineering service solutions. His teams have driven enterprise-wide optimization solutions and better business outcomes across all types of industries and clients. Dale is a Certified Maintenance and Reliability Professional (CMRP).
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Future-Proof Your Thermal Systems with IIoT & Data Driven Outcomes
Registration Is Closed
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