SKF “Expert System” helps reduce bearing failures

Recently, SKF has successfully developed an “expert system” to analyze the causes of bearing failures to help customers avoid repetitive bearing failures. Although the system is not the first in the field of bearings, it does make up for the shortcomings of previous bearing fault detection systems.

Previous systems were often decision-making graph structures, and the causes of bearing failures were speculated by symptoms. The system works in another way – from the cause of the bearing failure to the symptoms.

The core of the system is a range of relevant expertise from the basic principles of rolling bearings to practical engineering and application results. It has four categories, namely:

1. Conditions (speed, bearing type, load, temperature, etc.)

2. Intrinsic mechanical devices (such as sliding contacts and damage to the lubricating film)

3. Failure modes (including fatigue cracks and frictional corrosion of surface initiation)

4. Symptoms (such as raw embroidery, spallation, and fading)

The SKF expert system links the data to the basic data of the database by using customer-supplied data for probabilistic analysis. The system summarizes the causes of a series of bearing failures, arranged by probability.

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FOSHAN GUANSEN BICYCLE TECHNOLOGY CO.,LTD. , https://www.hedatx.com