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Now select another program and check the box "Always use this app to open *.EQT files". Windows: Right click on any EQT file and then click "Open with" > "Choose another app".
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Once these have been determined, it is merely a matter of analyzing the extrapolated failure times in the same manner as conventional time-to-failure data. With this failure level defined, it is a relatively simple matter to use basic mathematical models to extrapolate the measurements over time to the point where the failure is said to occur. In either case, however, it is necessary to be able to define a level of degradation or performance at which a failure is said to have occurred. These cases belong to the Destructive Degradation Analysis Category. Examples are the measurement of corrosion in a chemical container or the strength measurement of an adhesive bond. In other cases, direct measurement of degradation might not be possible without invasive or destructive measurement techniques that would directly affect the subsequent performance of the product therefore, only one degradation measurement is possible. These cases belong to the Non-Destructive Degradation Analysis category.
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In some cases, it is possible to directly measure the degradation of a physical characteristic over time, as with the wear of brake pads, the propagation of crack size, or the degradation of a performance characteristic over time such as the voltage of a battery or the luminous flux of an LED bulb. Many failure mechanisms can be directly linked to the degradation of part of the product, and degradation analysis allows the analyst to extrapolate to an assumed failure time based on the measurements of degradation over time. Degradation analysis involves the measurement of performance data that can be directly related to the presumed failure of the product in question. Another option in this situation is the use of degradation analysis. However, this generally leads to a great deal of uncertainty in the results.
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In some cases, it is possible to infer the reliability behavior of unfailed test samples with only the accumulated test time information and assumptions about the distribution. Given that products are more frequently being designed with higher reliability and developed in a shorter amount of time, it is often not possible to test new designs to failure under normal operating conditions.