olajanalízist

Olajanalízis, also known as oil analysis or lubricant analysis, is a proactive maintenance technique that involves examining used lubricating oil from machinery to assess the condition of the equipment and the lubricant itself. This process helps predict potential failures, optimize maintenance schedules, and extend the lifespan of machinery. By analyzing properties such as viscosity, total acid number (TAN), total base number (TBN), elemental analysis for wear metals, and the presence of contaminants like water or soot, technicians can gain valuable insights.

The primary goals of olajanalízis are to detect abnormal wear in machine components before catastrophic failure occurs, identify contamination issues that can accelerate degradation, and determine the remaining useful life of the lubricant. For example, an increase in iron, chromium, or aluminum particles in the oil can indicate wear in specific engine parts. Elevated levels of water can lead to corrosion and a breakdown of the oil's protective film, while a high concentration of soot can signal incomplete combustion.

This diagnostic tool is widely applied across various industries, including manufacturing, transportation, power generation, and mining. It is particularly beneficial for critical and expensive equipment where downtime can be extremely costly. Regular oil analysis programs allow for condition-based maintenance, moving away from scheduled or reactive maintenance. This means maintenance is performed only when necessary based on the actual condition of the equipment, leading to reduced maintenance costs, improved reliability, and enhanced operational efficiency. The data generated from olajanalízis is typically compared against established benchmarks and historical trends for the specific equipment to identify deviations and diagnose potential problems.