1. The Bathtub Curve and the Purpose of Burn-in
The failure rate of electronic components over operating time typically follows the so-called bathtub curve: early in the service life, infant mortality failures caused by manufacturing defects dominate and the failure rate decreases; this is followed by a long period of low, roughly constant random failures – often expressed in FIT (Failures In Time, failures per 109 device-hours) and typically in the range of a few to a few hundred FIT for qualified semiconductor devices –, before wear-out failures driven by aging mechanisms such as electromigration, TDDB, or BTI cause the failure rate to rise again toward the end of the useful life.
Burn-in refers to a stress test in which components are operated for a defined period, often 24 to 168 hours, under elevated voltage and temperature in order to accelerate through the infant mortality phase of the bathtub curve and screen out defective units before they are shipped to the customer. Because burn-in adds cost and test time, it is mainly applied to applications with high reliability requirements, such as automotive or industrial electronics, while mature consumer products with well-controlled processes are often covered by statistical sampling instead.