In this podcast, NACE members Joe Mazzella and Tom Hayden of Engineering Director, Inc. (Evanston, Illinois, USA) join the MP Interview Series to discuss the work they are doing to combat corrosion through the use of machine learning. They provide a brief overview of their project that involves estimating corrosion growth rates in underground pipelines; details about the computer vision app they are creating; and an update on NACE task group TG 589.
More information on their work is available in the August 2020 issue of Materials Performance (MP).
New OSHA Updates for Coatings Contractors
Why Microbial Control Is Becoming More Important in 2020
How Pipeline Operators Can Integrate Best Anticorrosion Practices
Raising the Bar in Construction: Part 2
How to Reap the Benefits of CoatingsPro's Contractor Awards
Raising the Bar in Construction: Part 1
The Benefits of Asset Corrosion Management
Key Priorities for the Integration of NACE, SSPC
How Predictive Intelligence Could Transform the Industry
The Basics of Additively Manufactured (3D Printed) Metals
Free Roof for Christmas? How One Contractor Is Giving Back
Addressing the Skills Gap in the Construction Industry
Application Tips for Coatings Jobsites in 2020
Tim Bieri on 2020-21 Priorities for NACE International
Marketing Tips for Coatings Contractors
How to Test, Inspect, and Rehab Offshore Cast Iron Pipes
Why Seamless Flooring Is Expanding in 2020
Lessons Learned from Corrosion in Antarctica
How to Win a Corrosion Innovation of the Year Award
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