[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are just under one week away from our October (2023) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, October 25 at 2:00 PM CT, we’ll be joined by the following speakers who will be leading a discussion on, “Predictive Maintenance of Utility Assets with Agile Machine Learning and Generative AI.”

Supratik Chaudhuri, Director and Industry Principal – Publicis Sapient 

Claus Agerskov, Lead Data Scientist – Publicis Sapient

Ramon Perez, Director, Data Science – Elder Research

Learn more about this session and our speakers below!

Session Description:

Publicis Sapient’s client, Sira-Kvina, generates 5% of Norway’s energy from seven hydro power sites. It wanted to build predictive models using its IOT and sensor data to determine hydro generator component failure risk and do preemptive maintenance.

The team was able to leverage time series SCADA data + control systems + protection systems + maintenance data, across 16 generators.

– Visual abstract model of the generator systems and components.

– Machine learning sprints to create ML and survival analysis models, 6 years of historical data.

The solution reduced complexity from 1000 to 10 most critical sensors. It also enabled better planning of periodic maintenance schedules and improved predictive performance 5x times.

Next steps: Prototyping the use of large language models (Gen-AI) to determine if operator logs can serve as indicators of upcoming equipment problems

Session Takeaways – Attendees will learn how to:

1. Apply AI/ML to asset component performance and failure

2. Use the insights to align maintenance cycles to improved asset performance

3. Use AI/ML to decompose complex asset models to critical points of failure

4. Deliver AI/ML projects through agile model

5. Discuss findings of LLM (Gen-AI) model implementation

Speaker: Supratik Chaudhuri, Director and Industry Principal – Publicis Sapient 

Speaker: Claus Agerskov, Lead Data Scientist – Publicis Sapient

Speaker: Ramon Perez, Director, Data Science – Elder Research

____________________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, October 25 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and we look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-02-2023 12:01
From: Kevin Praet
Subject: Upcoming October (2023) Community Conversation

Hello Asset Health Community Members,

 

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for our October (2023) Asset Health Community Conversation. On Wednesday, October 25 at 2:00 PM CT we’ll be joined by speakers at Publicis Sapient + a Utility who will be leading a discussion around, “Predictive Maintenance of Utility Assets with Agile Machine Learning Methods.”

  

I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

 

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————