A tool employing mathematical models to predict the lifespan of a product under normal operating conditions by analyzing its performance under harsher, accelerated conditions. For instance, exposing an electronic component to high temperatures and humidity levels can simulate years of typical use in a much shorter timeframe, with resulting data fed into the tool to estimate the component’s expected operational life. This approach accelerates the testing process, significantly reducing time-to-market and development costs.
Predicting product reliability is critical for manufacturers across various industries. This predictive capability enables informed decisions regarding design improvements, warranty periods, and maintenance schedules. Historically, manufacturers relied on lengthy real-time testing, which proved expensive and time-consuming. This advanced method provides a faster, more efficient approach, offering crucial insights for product development and lifecycle management. The ability to assess long-term durability early in the design phase empowers engineers to proactively address potential weaknesses and optimize product reliability.
