Product category:
Bearings and guideways - rotary and linear
News Release from: SKF UK | Subject: BearingDetective for identifying bearing failure
Edited by the Manufacturingtalk Editorial
Team on 22 July 2004
Expert system reduces recurring bearing
damage
An advanced 'expert' system helps prevent recurring bearing damage and failures, thus saving on the time and costs associated with unplanned machine stoppages.
SKF has developed BearingDetective, an advanced 'expert' system for identifying bearing failure modes The system will help customers prevent recurring bearing damage and failures, thus saving on the time and costs associated with unplanned machine stoppages
This article was originally published on Manufacturingtalk on 19 Apr 2004 at 8.00am (UK)
Related stories
Gearbox design smashes engineering barriers
Considered a breakthrough in the world of industrial transmissions, a gearbox offers a service life of greater than 50,000 hours - 30,000 more than the industry average.
Packaging improvement prevents bearing damage
A versatile, robust and environmentally friendly packaging solution for the transportation of large-size bearings affords easier and safer handling and superior protection.
As SKF BearingDetective is a web-enabled system, it allows SKF engineers all over the world to remotely assist in bearing failure analysis.
SKF's BearingDetective is a decision support system that allows consistent, fast and accurate assessments of rolling bearing damage or failure.
It is a knowledge-based system that searches its information base and offers a number of possible causes of the bearing damage found in individual situations.
The causes are ranked, with the highest probability ranked first.
The system overcomes the shortcomings of previous expert systems, which are structured as decision trees with symptoms shown branching off to possible causes.
Instead, SKF's BearingDetective is structured from possible causes to symptoms.
This structure, combined with the degree of uncertainty about possible failure states, achieves a more accurate analysis of the physical phenomena that occur during bearing service life.
At the core of the system is a wealth of knowledge gathered from basic rolling bearing principles to practical engineering and application results.
The probabilistic network is a visual network in which nodes are connected by causal relationships, and probability calculations applied.
The network for bearing failure analysis has four node categories; conditions, internal mechanisms, failure modes and observed symptoms.
The combination of these nodes ensures all possible factors are evaluated including bearing speeds and loads, corrosion, sliding contact and lubricant film disruption. Request a free brochure from SKF UK ...
• SKF UK: contact details and other news
• Email this article to a colleague
• Register for the free Manufacturingtalk email newsletter
• Manufacturingtalk Home Page
