Motor, Drives, Controls & Instrumentation 
- Technical Breakout Room C​

Session I

10:30 - 10:55

Motor Control – No batteries? How combining energy harvesting, sensors & wireless is set to revolutionise remote condition monitoring 
Keith Lomas - 8power

This presentation will show how a combination of the latest sensor technology and wireless standards can be powered for up to 10 years from an asset’s environment. Integrating these 3 key elements removes the need for battery replacement or wired power for remote condition monitoring of motors, pumps & other assets. We call this approach “fit & forget”.

Session J

11:30 - 11:55

Condition-based monitoring functions with Frequency Converters
Vasile Bucelea – Danfoss Drives

The latest condition-based monitoring functions embedded in next generation frequency converters is seen as a breakthrough in drives technology. This presentation is intended to explain the features of different condition-based monitoring functions available as well as highlighting benefits of having them embedded in a frequency converter instead of external equipment offering also the possibility of remote monitoring.


Session K

13:00 - 13:25

Unlock your drive’s digital potential through intelligent use of data to increase transparency and productivity.
Ian Morrey - Siemens

Two of the biggest challenges facing global industry are energy efficiency and productivity. Key to improving performance is by using technology to work with the variable forces of nature and automate complex processes to improve efficiency. We discuss how digital manufacturing has enabled the production of a fully customizable, built to order drive that is compatible with any motor through the combination of automation with the power of the elements, it not only improves overall efficiency and durability, but reduces emissions CO2 and unlocks the potential of digitalization.

Session L

14:00 - 14:25

Real time predictive analysis of Environment Agency MEICA flood risk management assets
Keith Solts - Environment Agency

Ability to predict asset failure before failure actually occurs is an aspiration driving the move toward real-time or near real-time monitoring of asset condition and performance. Advances in analytical techniques are enabling the integration of real-time data with data on past condition to provide performance information for the asset manager. This allows proactive decisions to repair or replace to be taken. Such technology is becoming increasingly routine. The rapid take up of new technology is driven by the need for companies to understand performance of a complex network of assets which are loaded continuously or at least a high frequency, e.g., buried pipes, tunnels, pumps.
Our MEICA assets are easy to inspect, but only loaded to capacity during flood events. This poses challenges and opportunities. A key challenge is understanding likely future performance given little actual performance history. An opportunity is associated with accessibility i.e., sensors for monitoring performance can be easily be deployed. Given the lack of past performance information, capturing as much data as possible when the asset is being loaded is important. Such performance information is required to help with pro-active maintenance and to optimise operations. 
Our research seeks to clarify new and emerging sensor technologies for monitoring real time MEICA asset performance. The research will test the market in terms of availability and applicability to our assets and inform the adoption of new technology. It will ultimately demonstrate how data can be brought into an analytic environment to improve decision making.​​


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