Abstract

In an ever-changing world of increased automation and process efficiencies, and with Industry 4.0 and the Internet of Things at the forefront of these efforts, the most successful heat treaters globally employ a predictive maintenance platform that allows them to anticipate disruption before it occurs. In this presentation, you will:• Understand how costs associated with furnace downtime compare with and without predictive maintenance.• Learn the fundamentals of predictive maintenance and how it’s changing the heat treating industry.• Hear a series of practical, data-driven examples in which the software anticipated hazards—like a broken (open) heating element or diffusion pump heater failure—avoiding potential part quality issues and hot zone damage.• See real-life business cases on aged furnaces, where the risk and frequency of unplanned downtime is significantly higher. We will show all the benefits of monitoring furnace health with real-time diagnoses.

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