PdM Talks are back with new topics featuring industry leaders, innovators & experts!
Check out the topics and register below!
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Vibration Summer School • Free of Charge

One 30-45 Minute Virtual Session Weekly

Duration
June 2nd - July 14th
Outcome
A better understanding of condition monitoring and its relevance in manufacturing operations
Who should attend?
Maintenance & Reliability Managers and Vibration Analysts
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June 2nd

Machine set-up, where to start

The push for automated diagnostics has increased the need for proper machine setups. We will discuss the importance of testing locations and documenting machine information to ensure accurate results.

Instructor

Jacob Schlottman - Services Team Manager, Symphony Industrial AI

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June 9th

Templates for Automated Diagnostics

We will discuss the components required for an automated diagnostic system to work. You will learn why these components are needed, what defines each component, and how the automated diagnostic system works.

Instructor

Brandon DeVier - Services SME • Professional Services

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June 16th

Statistical Averaging and Exceedances

We will discuss the use of statistical averaging for creating baselines and thresholds for automated diagnostic systems. You will learn the process to create average baselines, and the use of statistical averaging to create threshold levels.

Instructor

Brandon DeVier - Services SME • Professional Services

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June 23rd

Maturing Machines with Real Data

Join us to learn about maturing machines using real data and the importance of performing audits on your vibration databases. This talk will focus on using real data to find and label forcing functions as well as define other machine characteristics. We will also spend some time on the importance of performing audits on your vibration databases.

Instructor

Dean Thiel - Services SME • Professional Services

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June 30th

Machine Impact Detection

During this topic we will discuss impact detection techniques we use for machinery vibration analysis. We will review some technical subjects around legacy signal processing with its limitations along with advances that allow us to capture, compress,
and view machinery impacts.

Instructor

Steven Hudson - Director of Operations • Technical Services

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July 7th

Slow and Variable Speed Machine Solutions

During this topic we will identify difficulties of vibration analysis in Slow and Variable speed machines. Then we will discuss various strategies in monitoring these machines from sensor selection to signal processing features.

Instructor

Steven Hudson - Director of Operations • Technical Services

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July 14th

Setting up Balance on Trio

We will cover a basic balance setup in the Alert Balance software. Examples will be given of conditions that make balancing impossible and how to verify these conditions. Several tips and tricks of balancing will also be covered.

Instructor

Jeff Langford - Services Team Manager • Professional Services

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AI Summer School Courses

July 28th

Introduction to Machine Learning in Industry

You will learn about applications of Machine Learning in different process industries such as mining, oil & gas, power, chemicals and others. A general overview of Machine Learning topics such as supervised vs unsupervised learning vis-à-vis Clustering, Classification, Regression, Compression and Recommendation systems.

Instructor

Sudeep Gowrishankar - Product Manager • Product Engineering

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August 4th

Machine Learning and Time-series Modeling

In this course, we will look at practical aspects of Time-series modeling using Machine Learning and see how real-time applications can be built to deliver forecasting, fault prediction and operations optimization solutions.

Instructor

Sudhanshu Kashyap - Principal Data Scientist • Product Engineering

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August 11th

Machine Learning and Image Analysis

In this course, we will look at how machine learning - particularly convolutional neural networks can be applied to interpret images and other multi-dimensionally dense and high-frequency information to predict asset health and/or process states and material properties.

Instructor

Venky Ryali - Head of Applied AI • Product Engineering

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