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MTBF = Total operating time / number of failures = 2,080 hours / 4 = 520 hours. The MTBF of the motor is 520 hours. This means that on average, the motor can be expected to operate for 520 hours before it fails.
Mean time between failures (MTBF) is the predicted elapsed time between inherent failures of a mechanical or electronic system during normal system operation. MTBF can be calculated as the arithmetic mean (average) time between failures of a system.
MTBF predictions are often used to designate overall failure rates, for both repairable and replaceable/non-repairable products. Here is the simplest equation for mean time between failure: MTBF=total operational uptime between failures / number of failures. Let’s look at an example.
The mean time to failure, or MTTF, is a measurement of how long it takes for something to fail. This is a device’s average life expectancy. The mean time to failure is derived by multiplying the device lifespans by the number of devices.
MTBF values are usually used to predict how likely a single item is to fail within a given timeframe. Calculating MTBF should be simple enough. All it takes is to look at a failures report for a given system, get the times between the different failures, and then calculate the average time.
Mean Time Between Failures, or MTBF, is a useful statistic for understanding and predicting the reliability of systems and components. It's an important tool for maintenance planning, product design, and for making informed choices about which equipment to purchase.
MTBF is a critical metric for predicting the overall system reliability and identifying components that are prone to frequent failures. MTBF is typically expressed in hours, days, or any relevant time unit. To calculate MTBF, divide the total operational time by the number of failures.