SKF University Technology Centre Advanced condition monitoring Pr - - PowerPoint PPT Presentation

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SKF University Technology Centre

– Advanced condition monitoring

Pär Marklund Assistant Director

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SKF University Technology Centre

– Visions and trends

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Vision: The Smart bearing

Communicating wireless with its environment and manage its own energy supply

I’m running at 1434 rpm I’m 75ºC and I’m hot! The load is 455 N My Remaining Useful Life is 372119 revolutions I need more grease! I’m unaligned I feel fine but you’d better check the rest

• f the machine

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Smart bearings will open for new services connected to the bearing and its generated data

Remote diagnostics Prognosis Statistics Planning of service Safety and reliability

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Instrument the assets Interconnect them Make them intelligent

3 big ideas to build one smarter asset

A billion transistors per human being on the planet A trillion devices all giving off data – the ‘internet of things’ New analytics tools assessing this ocean of data

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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!

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A Smart bearing is so much more than just a bearing!

Position of the car Load in the car Detect wheel damage Error detection in boggie Maintenance planning Operation planning Detect rail damage Continuous scanning of rail Error detection

• f bearing

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Example: Where are we today?

Vibration Rpm Temperature

Electrified car Wires are possible Power is available

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Often not electrified cars

• Wires ”are not possible” ⇒ Wireless communication
• Power is not available

⇒ Power harvesting

What about cargo trains?

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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.” “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”

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• 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

Different types of maintenance…

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UTC Architecture

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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.

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SKF UTC @ LTU

EISLAB

(Internet of Things, System of systems, sensors, embedded systems, electronics, communication )

Operation and Maintenance Engineering

(Maintenance strategies, reliability, integration with management systems)

Machine Elements

(tribology, mechanical engineering, measurement strategies, diagnostics)

Students

(Undergraduate and PhD student projects)

SKF

Other companies and organisations

(e.g. Trafikverket, LKAB, Bosch Rexroth, Scania, Vattenfall, Ericsson)

External funding

(E.g. VINNOVA, VR, Wallenberg, SSF, … )

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Where do we start?

• Startup projects:

– 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

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Thank you!