Elemental analysis of used lubricating oil is an essential component of condition monitoring, which utilizes physical and chemical techniques to assess the ongoing operating condition of machinery and equipment. Lubricating oil analysis can be applied to various mechanical systems, including engines, gear transmissions, and hydraulic systems. These are critical and high-value components in sectors such as power generation, petrochemical and other industrial processes, construction machinery, and transportation (including aviation, fleet operations, and public transportation).

This "early warning" can reduce maintenance costs, implement more effective maintenance plans, shorten overhaul time, and extend equipment life, all of which significantly contribute to reducing operational expenses.

In these sectors and under the supervision of laboratory directors, hundreds of lubricating oil samples are analyzed daily, involving multiple elements. Spectral detection can expedite the identification of foreign substances that may accelerate wear on components or detect higher-than-normal concentrations of certain specific elements that indicate the degree of wear. Analyzing the reduction levels of any present additives further helps determine the "health" of the lubricating oil. This systematic analysis of operating lubricating oil can predict and rectify imminent machine failures.

The OA800 Oil Analysis Spectrometer, also known as the Rotating Disk Electrode Atomic Emission Spectrometer (RDE-OES), is a lubricating oil spectrometer independently developed by Guangdong DITEE Scientific & Technical Co., Ltd., with complete intellectual property rights. The oil analysis spectrometer is an effective analytical tool for oil monitoring, enabling direct testing of lubricating oil, hydraulic oil, fuel oil, coolant, grease, industrial circulating water, and other samples for the elemental content of wearing metals, contaminants, and additives. It enables the assessment of the degree and location of major equipment faults such as wear, sealing, and overheating, facilitating the monitoring of key oil-operated equipment, fault diagnosis, and fault prediction. Therefore, oil spectral analysis can provide early warning for significant equipment failures, proactively detect potential hazards through real-time analysis and trend analysis of spectral data, optimize maintenance plans, reduce equipment failure rates, and achieve proactive preventive maintenance, leading to a significant reduction in operational costs.