PdM Talks Fall Series

Join us for informative talks every week! We’re covering 20+ new topics featuring industry leaders, innovators & experts!

October 28th

Real-time Soft Sensors - AI and Physics to Improve Plant Performance

In this webinar, we will examine how AI and first principles physics models can be combined to build online soft sensors to estimate critical process parameters that are otherwise not available in real-time.

Panelist: Sudhanshu Kashyap

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October 29th

Best Practices for Automated Vibration Analysis

We will discuss the growing volume of industrial data, leveraging technology and expansive data lakes to train models faster, and closing the loop to ensure accuracy and effective insights of your PdM program.

Panelist: Michael DeMaria

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November 4th

Adding Process Data to Your Vibration Program

We will look at how with AI, we can add process data to your vibration program in order to build significant capability to detect incipient failure conditions much earlier in the PF curve -- and at the same time increase fault coverage by 3X.

Panelist: Nishanta Samal - Product Engineer, Symphony AzimaAI

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November 5th

Grinding Mill AI Optimizer for Mining

We will look at how advanced AI and machine learning models are combined with optimizers to complement plant controllers to improve throughput and yield of Grinding mills in Gold mining applications.

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November 12th

Accelerating Glass Furnace Performance with AI

We will look at how advanced AI and machine learning models are combined with forecasting models and optimizers to improve melting furnace operations for improved yield and energy management in glass manufacturing.

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November 18th

Optimizing Cement Production with AI

We will look at how online AI and machine learning models are combined with plant controllers in rotary kilns and mills to improve energy efficiency and blaine quality in cement production.

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November 19th

CbM Best Practices & Metrics

Join Symphony AzimaAI's CEO - Dominic Gallello for a roundtable discussion with guests speakers from McKinsey & Company.

Speakers include:
Patrick Neise - Maintenance & Reliability Global Lead
Alex Sierra Lapiedra - Associate Partner, maintenance, reliability and change management

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December 3rd

Using AI to reduce energy usage in smelters

We will look at how AI and digital twin technology to are used to build accurate asset models and process advisories in order to reduce specific power consumption at the highly energy intensive aluminium smelters.

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