October 27th
Wireless for the Reliability Engineer
In this PdMTalk we will discuss 4 challenges the Reliability Engineer faces when it comes to data driven decisions on plant assets. This talk will include deciding what data is needed, how it is consumed, interpreting results, and closing the feedback loop.
Panelist: Michael DeMaria - Director, Product Mgmt & Training • Sales
November 3rd
Bearing Fault Detection on Slow Speed Shafts
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: Steven Hudson - Director of Operations • Technical Services
November 9th
Digital FMEA - The Secret Sauce to AI powered APM
For this webinar, we will introduce to the market, Symphony’s Digital FMEA, the heartbeat of APM. We digitized the FMEA process and combined it with 3rd Generation AI leveraging machine conditions, process time-series data and failure models to predict anomalies with Automated root cause analysis and actionable “alerts”. As far as we know, we are the only vendor that takes ML/AI to this level of autonomous APM.
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November 10th
Optimizing Cement Production with AI
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 - Principal Data Scientist • Product Engineering
November 17th
Centralizing your CBM
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: Michael DeMaria - Director, Product Mgmt & Training • Sales
November 24th
Using AI to reduce energy usage in Smelters
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 - Senior Vice President, AI Platform and Applications Business • Product Engineering
December 1st
Accelerating Glass 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
December 8th
Reducing machine faults by as much as 90%
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 - Director, Product Mgmt & Training • Sales
December 15th
AI For Optimal Plant Sustainability
In this webinar, we will look at how advanced AI and machine learning models are combined with mass-energy balances to streamline furnace and boiler operations for reduced emissions and improved energy management. A sustainability calculator will be presented.
Panelist: Arjun Bhattacharyya - Senior Vice President, AI Platform and Applications Business • Product Engineering
January 5th
Process Anomaly Prediction with AI & Domain Knowledge
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 - Principal Data Scientist • Product Engineering
January 12th
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 - Director, Product Mgmt & Training • Sales
January 19th
Digital Twin Builder – Self Service
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 - Data Scientist • Product Engineering
