Élettartamfigyelés

Élettartamfigyelés refers to the monitoring of the expected lifespan or service life of a product, system, or component. This practice is crucial in various fields, including engineering, manufacturing, and materials science, to predict when a part or system is likely to fail or require maintenance. The goal is to proactively address potential issues before they lead to operational disruptions, safety hazards, or significant financial losses.

The process typically involves collecting data from various sources. This can include operational data such as usage hours, temperature, pressure, and stress levels. It also encompasses historical data from previous failures, maintenance records, and performance trends. Advanced statistical models, machine learning algorithms, and simulation techniques are often employed to analyze this data and estimate the remaining useful life (RUL).

Élettartamfigyelés allows for optimized maintenance schedules, moving from fixed-time-based maintenance to condition-based maintenance. This means that maintenance is performed only when necessary, based on the actual condition and predicted lifespan of the asset. This can significantly reduce maintenance costs, improve equipment reliability, and extend the operational life of valuable assets. It also plays a vital role in ensuring safety by identifying potential failures in critical systems before they occur.