What Is Mean Time Between Failure

Discover the importance of Mean Time Between Failure (MTBF) in assessing system reliability. Learn how it helps predict maintenance schedules and improve overall performance.


Mean Time Between Failure (MTBF) is a crucial metric in the field of reliability engineering. It is used to estimate the reliability of a system by calculating the average time between failures.


MTBF is calculated by dividing the total operating time of a system by the number of failures that occur within that time period. It provides an indication of how long a system can be expected to operate before a failure occurs.


MTBF is used to assess the reliability of various products and systems, including electronics, machinery, and equipment. It helps in predicting maintenance schedules, identifying potential issues, and improving overall system performance.


  • An electronic device has an MTBF of 10,000 hours, meaning it is expected to operate for an average of 10,000 hours before experiencing a failure.
  • A manufacturing plant has an MTBF of 6 months, indicating that on average, it can run for 6 months before a critical breakdown.

Case Studies

In a study conducted by a manufacturing company, they found that by monitoring and improving the MTBF of their machines, they were able to reduce downtime by 20% and increase productivity by 15%.


According to a report by the International Organization for Standardization (ISO), companies that implement MTBF analysis in their maintenance strategies experience a 30% reduction in maintenance costs and a 25% increase in equipment lifespan.

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