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Applied Machine Learning for Digital Asset Health Monitoring

This 2-day course will prepare you to implement Machine Learning and AI for Digital Asset performance monitoring for your Industry 4.0 initiatives.

Course outline:

  • Introduction to Industrial Analytics framework

  • Theory and concepts of Machine learning and AI

  • Practical ways to apply ML and AI technology for predictive Asset performance and risk monitoring

What the Student Will Learn from the 2-day course:

  • Fundamentals of Machine learning and Artificial intelligence theory

  • How to use Machine learning and AI for Asset performance monitoring

  • How to build intelligence agents for tracking incipient faults

  • Deploy and manage machine learning models in a real-time production setting

  • Visual techniques for interpreting the model outputs which can further increase trust in the adoption of AI

  • Importance of SME feedback in training Machine learning models

  • Developing your Asset intelligence roadmap

Course Details

Continuing Education Credits Included

Format: Public Course

Category: Leadership

Language: English

Members: $895.00 
Non-Members: $995.00

Thursday, July 14 at 8:00am to 4:30pm

Conference Center Building, B067B
600 Henley Street, Knoxville, TN 37996

Event Type

Training & Workshops

Topic

Engineering

Audience

General Public

Tags

MRO Spare Parts, Scheduling, RCM, Uptime improvement, Planning and Scheduling, Basic Metrics

Department
Reliability and Maintainability Center
Hashtag

#UTRMC

Contact Email

rmc@utk.edu

Contact Phone

865-974-9625

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