AI primer for Asset Performance Management

Join us September 23rd! 

In this webinar, we will examine methods of performing anomaly detection on industrial assets using historical and real-time data. We will also see how we can produce explainable results that are immediately useful and actionable for the end-user.

  • Panelist: Sudeep Gowrishankar

Registration is limited, so sign up below!


Optimizing Cement Production with AI

Join us September 24th! 

In this webinar, 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.

Panelist:

  • Sudhanshu Kashyap

Registration is limited, so sign up below!


Centralizing your CBM

Join us September 30th! 

CBM has largely failed at being used to benchmark plants, asset classes, M&R work processes, operations effectiveness, and safety. Learn how to achieve these benchmarks while saving money by centralizing your CBM program in the cloud. 

  • Panelist: Jack Leahey

Registration is limited, so sign up below!


Using AI to reduce energy usage in Smelters

Join us October 1st! 

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 aluminium smelters.

  • Panelist: Arjun Bhattacharyya

Registration is limited, so sign up below!


Bearing Fault Detection on Slow Speed Shafts

Join us October 7th! 

In this Webinar, we will discuss the difficulties encountered in detecting slow speed shaft bearing faults.  We will examine best-practice approaches to selection of low frequency accelerometers and advanced signal processing aimed toward impact detection.

  • Panelist: Steve Hudson

Registration is limited, so sign up below!


Modern APM with 3rd Generation AI

Join us October 8th! 

In this webinar, we will examine how modern APM can be built with 3rd Generation AI that uses machine reasoning to detect both known and unknown faults as opposed to historical pattern recognition techniques deployed to identify known fault patterns.

  • Arjun Bhattacharyya
  • Rohith Kumar Kodipally

Registration is limited, so sign up below!


Reducing machine faults by as much as 90%

Join us October 14th! 

In this webinar we will discuss a case study that demonstrated a 90% reduction in priority repair actions with advanced diagnostics and collaborative reporting.

  • Panelist: Michael DeMaria

Registration is limited, so sign up below!


AI Digital Twin for Optimal Plant Performance

Join us October 15th! 

In this webinar, we will examine typical challenges in the modeling of complex processes for dynamic performance optimization and highlight how advances in machine learning effectively address these challenges.

  • Panelist: Venky Ryali

Registration is limited, so sign up below!


Process Anomaly Prediction with AI & Domain Knowledge

Join us October 21st! 

In this webinar, we will examine how AI and domain-centric first principles hybrid models can be built and run continuously online to detect early onset of process conditions and mitigate circumstances for unplanned outages in large chemical plants.

Panelist:

  • Sudhanshu Kashyap

Registration is limited, so sign up below!


Digital Twin Builder – Self Service

Join us October 22nd! 

In this webinar, we will demonstrate how a digital twin model builder can enable domain users to build in a visual drag-and-drop mode state-of-the-art AI-based predictive models for asset anomaly detection and process performance.

Panelist: Tanmay Agarwal

Registration is limited, so sign up below!


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

Join us October 28th! 

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

Registration is limited, so sign up below!


Best Practices for Automated Vibration Analysis

Join us October 29th! 

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

Registration is limited, so sign up below!


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