In other words, MTBF isn't meant to predict the behavior of a single component it predicts the behavior of a group of components. It's saying if you run a group of widgets, the average time between failures within the tested group is 800 hours. So, what does this tell us? In this example, the MTBF isn't suggesting that each widget should last 800 hours. Calculate MTBF: Now that we know testing was performed for 16,000 hours with 20 widget failures, we can calculate MTBF: 16,000 hours / 20 failures = 800 hours.For this example, consider there were 20 widget failures. Figure out the number of failures: Identify the number of failures over the entire number of widgets tested.The total hours spent testing equal 16,000 hours (40 x 400 = 16,000). Find the total uptime: Imagine you have a warehouse full of widgets, and 40 of them were tested for 400 hours each.MTBF is calculated by taking the total time an asset is running (uptime) and dividing it by the number of breakdowns that happened over that same period of time.īroken down, the MTBF calculation might look like this: You'll most likely see these variations when differentiating between critical and non-critical failures. They are mean time between system aborts (MTBSA), mean time between critical failures (MTBCF) and mean time between unscheduled removal (MTBUR). There are a few variations of MTBF you may encounter. This relationship is illustrated in the equation: Reliability = e-(time/MTBF). MTBF is a basic measure of a system's reliability the higher the MTBF, the higher the reliability of a product. Availability is usually looked at in tandem with reliability because, once a failure occurs, the critical variable switches to getting the asset up and running as quickly as possible. Availability is determined by the reliability of a system and its recovery time when a failure does occur. In other words, it's the likelihood that a piece of machinery is in a state to perform its intended function at any given time. Think of an airplane its mission is to safely complete a flight and get passengers to their destination with no catastrophic failures.Īvailability is the time an asset or component is operational and accessible when it's needed for use. Put another way, it's the likelihood that a piece of machinery will do what it's meant to do with no failures. Reliability is the ability of an asset or component to perform its required functions under certain conditions for a predetermined period of time. Having high reliability and availability usually go together, but the terms are not interchangeable. It's important to note that MTBF is only used for repairable items and as one tool to help plan for the inevitability of key equipment repair.īefore you calculate MTBF, you need to understand how it affects reliability and availability. In other words, MTBF is a maintenance metric, represented in hours, showing how long a piece of equipment operates without interruption. Mean time between failures (MTBF) is a prediction of the time between the innate failures of a piece of machinery during normal operating hours. Below, we'll discuss the MTBF calculation, MTBF traps to be aware of and how to improve your MTBF. MTBF is a calculation used to predict the time between failures of a piece of machinery.
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