Cookies on the SKF website

SKF uses cookies on our websites to align the information shown as closely as possible to our visitors’ preferences, such as country and language choices.

Will you accept SKF cookies?

Reliability Analytics

Applying statistical reliability engineering

SKF uses proven reliability engineering approaches to identify and coordinate critical elements to help improve key asset reliability, including:
  • An effective maintenance and implementation strategy
  • Quality data capture and retention
  • The ability to determine key plant or equipment failures
  • A structured repeatable method of failure analysis
  • A method of capturing and implementing analysis recommendations

Statistical reliability engineering provides a closed-loop framework for organizational learning. All of the information gathered and developed during the model's implementation is fed back to the starting point to refine the strategy. SKF consultants deploy industry-standard statistical analysis techniques such as reliability growth, probability distribution and the costs of unreliability.
SKF logo