Asset performance 4.0 - Virtual Conference & Exhibition

Asset performance 4.0 - Virtual Conference & Exhibition
I-care attending

The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. The Asset Performance 4.0 Virtual Conference & Exhibition offers a unique opportunity to learn how new 4.0 technologies and fundamentals in operations, maintenance and asset management reinforce each other in order to achieve higher equipment reliability and cost performance in asset intensive industries.

Event Belgium From 15 to 17 September 2020

I-care is a proud sponsor of the virtual Asset Performance 4.0 Conference.

During the conference, you can see and learn how new 4.0 technologies and fundamentals in operations, maintenance and asset management reinforce each other in order to achieve higher equipment reliability and cost performance in asset intensive industries.

The conference takes place from 15 – 17th September and is followed by weekly webinars and virtual mini-conferences.

I-care will be present with a virtual booth, where you can get more information about our services and have a chat or call with us for more information. 

We are also proud to announce that we will participate to and / or facilitate presentations, hackathons, workshops and a webinar.

We will be actively present at several conferences, debates and hackathons, register now:

Innovators debate 'Digitalization of the maintenance services & spares supply chain'

with Fabrice Brion (I-care), SKF and Eriks

Interested? Register now

15 september 2020

10:10-10:45

Debate organized with:

Fabrice Brion 

CEO

I-care Group

I-care - OPEX based delivery model speeds up maintenance 4.0 transition

Industrial companies are looking for alternative methods to sponsor the transition to wireless vibration monitoring as they start to implement their 4.0 strategies. There are many roadblocks to implementing wireless monitoring, such as capital needs, infrastructure, transparent pricing, inclusive monitoring services, reliability of monitoring equipment, quality of analysis, quality of service and upgrades to the latest technology. 

When Industrial companies want to implement wireless monitoring on a large scale, with sometimes tens of thousands of mounted devices, an OPEX-based delivery model is much more feasible for these organizations. 

In this short webinar, Pieter van Camp, CCO from I-care will explain why OPEX based delivery models are the next big thing in the transition to Maintenance 4.0

Interested? Register now

 

15 september 2020

10:45-11:15 

 

Presented by:

Pieter Van Camp

Chief Comercial Officer

I-care Group

From traditional to AI based failure detection on a press roll of a paper machine

I-care collaborates since 2014 with a paperboard industry in the North of France, deploying condition based monitoring technologies such as vibration and oil analysis. One of the most important top press roll on paper machine 2 showed early bearing degradation that I-care detected with classical portable vibration technologies. Together with paper machine owner, I-care decided to implement Wi-care 100 wireless vibration sensor in order to better follow up this defect untill the next scheduled shutdown. Not only with traditional alarm based methods, but also with DEEP LEARNING neural network approach has I-care been able to detect, follow up and avoid a catastrophic failure which would have resulted in +20 hours unscheduled downtime with tens of thousands euros additional costs.

Interested? Register now

 

15 september 2020

12:15-13:15

 

Presented by:

Olivier Dengis

4.0 officer and performance Officer

I-care Group

The DOFA approach for an efficient Reliability 4.0 project

- What available data and what tools can be used in the identification of the interesting POC's?

- What data could be captured for different Reliability challenges?

- How can proven Reliability data analytics be used to support effective prescriptive solutions?

- What's the revenue lost due to unreliability of my installation? Will the payback justify my investment in reliability?

Interested? Register now

 

16 september 2020

09:45-10:45

 

Presented by:

Tom Rombouts

Sr. Reliability Engineering Consultant

I-care Group

Aquafin Prediction Presentation: I-care - Yazzoom

To tackle the challenge raised by Aquafin, I-Care and Yazzoom teamed up and combined their tools and know-how.
“Yanomaly”, Yazzoom’s software product to add advanced analytics capabilities to any data collection platform, is used to detect, predict and avoid failures. We have complemented Yanomaly’s AI techniques for sensor validation and anomaly detection with dedicated algorithms based on I-cares expert knowledge in equipment failure to predict and prevent system failure caused by equipment usage outside of its preferred operating window or general equipment degradation.
With this tailored data driven failure prediction solution, the team is able to predict system failure more than 24h upfront, and identify lingering equipment failure up to 2 weeks upfront.

The data driven failure prediction is completed with the necessary reliability know-how to turn the newly acquired system failure insights into targeted reliability improvement projects fine-tuning the asset maintenance plans.

Interested? Register now

 

17 september 2020

11:00-11:45

 

Presented by:

Tom Rombouts

Sr. Reliability Engineering Consultant

I-care Group

Jan Verhasselt

Managing Director

Yazzoom

Fluvius Reporting Pitch - I-care FORapp - Data and Weather Forecast driven Failure prediction

Fluvius operates electrical substations that supply electricity for all 300 municipalities, for every household, every business and every inhabitant of the Flanders in Belgium. Accurate monitoring and anomaly detection of humidity and temperature deviations of the substations are important, as these data determine the risk of bad operating conditions. 

Condensation is one of those. Avoiding such risky environmental situations can greatly improve any electrical equipment’s life. Anomaly detection and prediction algorithms offer an efficient solution for this. However, this is true that the implementation of such detection requires data! 

This is the reason why Fluvius company equipped its electrical installations with basic temperature and humidity sensors (25% of transformer substations are equipped for the moment). 

There is no intelligence implemented so far in the current substation monitoring report because thresholds are fixed at absolute level (between 10°C and 40°C for temperature and 90-95% for relative humidity). They can be fine-tuned and manually adjusted, per substation, but with no real analytics behind making that operation not reliable. No external information or parameter is taken into accounts, such as substation localization or local weather conditions that may influence the readings. More, there is currently no detection of inconsistent or illogic readings.

Interested? Register now

 

17 september 2020

12:45-13:00

 

Presented by:

Olivier Dengis

4.0 officer and performance Officer

I-care Group

Damien Vercammen

R&D Engineer

I-care Group