SKF (UK) Limited
product

Condition monitoring service expanded

SKF has announced an extension of its Remote Monitoring Service for the manufacturing, process and industrial sectors. The service has been developed to help companies cut the cost of condition monitoring, especially in critical applications, by providing a dedicated off-site team of specialists capable of providing round-the-clock monitoring.

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Lubrication management: Avoiding hidden costs

Lubrication management can make or break asset performance. Getting it right lays a sound foundation for asset reliability; getting it wrong or managing it incorrectly will result in financial penalties. Matt Preston, Lubrication Systems application engineer at SKF offers some guidance

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Shaft alignment tool

SKF has introduced a new shaft alignment tool for professional alignment tasks in harsh industrial environments.

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Extending the life of an ageing fan

Paying closer attention to bearing selection, lubrication, and condition monitoring can add years to the life of your fans, says Paul Dysiewicz, engineering manager at SKF

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Opportunities for employees to enhance their skills

SKF’s catalogue of its 2017 training courses is now available. The courses cover everything from basic knowledge of bearings, through more advanced techniques – such as bearing damage classification – to complete modules on condition-based maintenance and work control processes.

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Efficient lubrication strategy?

Effective lubrication is the backbone of equipment reliability. The trick is delivering that lubricant in the most efficient way for your application, as Phil Burge, country communication manager, SKF (U.K.), explains

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product

Condition monitoring for pumps

Pumps are the heart of the water supply and wastewater industries; keeping them running efficiently places considerable demands on maintenance resources. SKF’s presence at this year’s Pump Centre Conference & Exhibition (11th May, Telford International Centre) will focus on condition monitoring for pumps – and how machine health data can be exploited to achieve more closely tailored and economical maintenance planning and scheduling.

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