SKF University Technology Centre

Transcription

1 SKF University Technology Centre Advanced condition monitoring Pär Marklund Assistant Director 1

2 SKF University Technology Centre Visions and trends 2

3 Vision: The Smart bearing Communicating wireless with its environment and manage its own energy supply I need more grease! I m running at 1434 rpm I m 75ºC and I m hot! I m unaligned I feel fine but you d better check the rest of the machine The load is 455 N My Remaining Useful Life is revolutions 3

4 Smart bearings will open for new services connected to the bearing and its generated data 4 Remote diagnostics Planning of service Prognosis Statistics Safety and reliability

5 3 big ideas to build one smarter asset Instrument the assets A billion transistors per human being on the planet Interconnect them A trillion devices all giving off data the internet of things Make them intelligent New analytics tools assessing this ocean of data 5

6 Bearings are parts of all machines A smart bearing will be the brain of the machine! The bearing will be a sensor for the whole machine! 6

7 A Smart bearing is so much more than just a bearing! Error detection of bearing Maintenance planning Error detection in boggie Detect wheel damage Position of the car Load in the car Operation planning Detect rail damage Continuous scanning of rail 7

8 Example: Where are we today? Electrified car 8 Wires are possible Power is available Vibration Rpm Temperature

9 What about cargo trains? Often not electrified cars Wires are not possible Wireless communication Power is not available Power harvesting 9

10 What about cargo trains? Future scenario! Imagine a future bearing in the last car without electricity that through wireless communication has to notify the driver that: I m running hot and would like you to reduce the speed with 20 km/h Ok. Let me know if I have to slow down even more. 10 Will do! I also borrowed the trains communication system to notify the service personel that I have to be replaced. They said I have to be delivered to the workshop in Luleå tomorrow. With the current reduced speed I will survive the whole way. Ok

11 Different types of maintenance Error based Mileage based Time based Condition based = Condition Monitoring Error indicators Vibrations Temperature change Tribological indicators Viscosity change Particles in lubricant Additive consumtion Acoustic emission 11

12 12 UTC Architecture

13 UTC Architecture The projects in the UTC should together cover the whole UTC architecture. This means that: The whole system from bearing to data management and business will be covered. The function of the bearing will change from a machine component to a integrated sensor. New knowledge will be created about e.g. sensor technology, signal processing robust /durable electronics data management and decision support systems. 13

14 EISLAB (Internet of Things, System of systems, sensors, embedded systems, electronics, communication ) SKF Other companies and organisations (e.g. Trafikverket, LKAB, Bosch Rexroth, Scania, Vattenfall, Ericsson) Operation and Maintenance Engineering (Maintenance strategies, reliability, integration with management systems) Machine Elements (tribology, mechanical engineering, measurement strategies, diagnostics) SKF LTU Students (Undergraduate and PhD student projects) External funding (E.g. VINNOVA, VR, Wallenberg, SSF, ) 14

15 Startup projects: Where do we start? 6 PhD students will now be employed for the first six projects within the UTC 2: Machine Elements (Sensor Techniques) 2: Eislab (Signal processing and electronics) 2: Operation and Maintenance Engineering (Models for decision support) Research projects are a combination of: Continuation of research areas where SKF have previous experience. New research areas. Research environment Different divisions work together 15

16 16 Thank you!