Method and device for detecting oil elements based on image-assisted atomic emission spectroscopy

Abstract

The invention discloses a method and device for detecting oil elements based on image-assisted atomic emission spectroscopy, and the method comprises the following steps of (1) synchronously collecting an arc plasma image and an atomic emission spectrum of oil samples by means of a camera and a rotating disk electrode atomic emission spectrometer, estimating state parameters of the plasma by usingelement spectral lines, and establishing an internal relationship between the plasma image and the state parameters; (2) establishing an image-spectral training model and a test model by using the partial least squares algorithm (PLS) based on arc plasma image and atomic emission spectrum data, obtaining a compensation proportional coefficient by first solving the training model, and obtaining the strength of the compensated spectral line by solving the test model; and (3) realizing the content detection of oil elements by using the strength of the compensated spectral line and combining a quantitative analysis algorithm. The method can significantly improve the field detection accuracy of oil elements and improve the repeatability of element detection without increasing the cost obviously.

Description

technical field [0001] The invention belongs to the field of spectral analysis, in particular to an on-site detection method and device for oil elements based on an image-assisted turntable electrode atomic emission spectrum. Background technique [0002] Oil (lubricating oil, fuel oil, etc.) is the "blood" that ensures the healthy operation of major equipment. The oil system plays a pivotal role in large rotating machinery systems such as aero engines and gas turbines, directly affecting the safety of the entire machine. Element detection is the core content of oil condition monitoring. Since the oil carries a large number of tiny particles produced by the wear of mechanical parts, the elemental composition of the particles can effectively reflect key information such as the degree of wear, wear location and fatigue of the relevant parts. Through the detection of oil elements, researchers can grasp the operating status of equipment in a timely manner, give early warning bef...

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Problems solved by technology

Nevertheless, this technology still faces many problems to be solved urgently, especially the detection process is affected by factors such as arc excitation energy fluctuations and environmental disturbances, and the measurement repeatability cannot be reliably guaranteed

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