PdM Talks are back with new topics featuring industry leaders, innovators & experts!
Check out the topics and register below!
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March 3rd

Bearing fault detection on slow speed machines

Vibration analysis on slow speed machines can be very challenging. In this talk, we will discuss those challenges, including long capture time, low signal amplitudes, and accelerometer selection. We will also discuss effective impact detection and its benefit in slow speed analysis.

Panelist: Steven Hudson - Director of Operations • Technical Services

US Registration  

March 10th

Accelerating Furnace Performance with AI

In this webinar, 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.

Panelist: Prashant Srinivasan - Senior Principal, AI • Product Engineering

US Registration   Europe/Asia Registration  

March 17th

High Frequency Wireless for Prediction & Prescription

Are wireless vibration sensors right for you? We will present several considerations to gain actionable insights into machine health using high-resolution wireless vibration sensors, managing wireless workflows, and avoiding the analytical burden.

Panelist: Michael DeMaria - Director of Product Management, Symphony Industrial AI

US Registration  

March 18th

Digital Twins for Remaining Days to Failure & What-if Performance Analysis

In this webinar, we will examine digital twin models to forecast conditions, simulate “what-if” scenarios and optimize actions to simultaneously extend the remaining time to failure and improve system availability.

Panelist: Venkatesh Raman - Principal Engineer • Product Engineering

US Registration   Europe/Asia Registration  

March 24th

A Scalable AI and IoT Platform for Manufacturing

In this webinar, we will look at how a modern component driven architecture can be leveraged to build a horizontally and vertically scalable cloud-enabled IoT platform for near real-time processing with online data processing and AI-based digital twins

Panelists: Raghavan Chockalingam - Engineering Manager • Product Engineering
Venki Tirumala - Director, Software Apps • Product Engineering

US Registration   Europe/Asia Registration  

March 31st

Seven Ways to Build Communication into your PdM Program

In this session, we will discuss how to connect everyone associated with decision that have to be made to keep a plant at capacity. From collection to analysis to operations to executives, a well-connected team requires proper communication.

Panelist: Michael DeMaria - Director of Product Management, Symphony Industrial AI

US Registration  

April 7th

Grinding Mill AI Optimizer for Mining

In this webinar, 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.

Panelist: Venky Ryali - Head, Applied AI • Product Engineering

US Registration   Europe/Asia Registration  

April 14th

Effective Remote CBM Start-ups

The key to an effective CBM program and rapid automation is precise and thorough implementation. Our Professional Services Startup team has perfected that precise methodology; and now we have a tool that enables the same for customers and partners that need to do their own remote startups. Our Rapid Startup App will facilitate and simplify the data gathering process needed to successfully launch you CBM program.

Panelist: Panelist: Steven Hudson - Director of Operations • Technical Services

US Registration  

April 15th

Energy Efficient Smelter Operations with AI

In this webinar, 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 aluminum smelters.

Panelist: Arjun Bhattacharyya - VP Product & Ops • Product Engineering

US Registration   Europe/Asia Registration  

April 21st

Digital Twins for performance with AI and FMEA

In this webinar, we will examine methods of using supervised and unsupervised learning AI models in conjunction with Failure mode and Effect Analysis for accurate prognostics of machine performance and actionable insights.

Panelists: Sudeep Gowrishankar - Product Manager • Product Engineering
Tanmay Agarwal - Data Scientist • Product Engineering

US Registration   Europe/Asia Registration  
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