旋挖钻机设备油液智能分析与健康监测

为了提高油液中与设备运行状态相关信息的提取效率，获取更为完整的信息来评估设备的当前状态，提出一种设备油液监测技术——全谱技术。基于全谱法制备油液污染颗粒全谱片，首先，利用图像分割技术、自动计数算法、模糊支持向量机模型实现谱片分析流程的自动化，完成谱片信息的智能提取，以此获取反映设备运行状态的关键信息；其次，将该技术应用到旋挖钻机设备的状态监测诊断中，通过对设备液压油、齿轮油中悬浮颗粒的定性、定量分析，实现了设备当前润滑、磨损状态的定性评估，为旋挖钻机的维修维护提供了指导。结果表明，油液全谱技术能够完整、快速、准确地提取油液中包含的信息来反映设备的运行状态，具有检测效率高、分析内容丰富的特点，可进一步推广应用到其他设备的油液监测诊断工作中。

Oil Intelligent Analysis and Health Monitoring of Rotary Drilling Rig Equipment

In order to improve the extraction efficiency of the oil information related to the running status of the equipment, a new analytical technique called oil filtergraphy technology is proposed in this paper. A further discuss is made of its main content, implementation process and engineering significance. Firstly, the filtergram is prepared based on the filtergraphy, then the image segmentation technology, automatic counting algorithm and fuzzy support vector machine are used to realize the automation of analysis process. The intelligent extraction of oil information is completed and the key information reflecting the running state of the equipment is obtained at the same time. Applying the technology to the condition monitoring of rotary drilling rig equipment, the lubricant state and wear condition for the current stage are assessed after analyzing the suspended particles from hydraulic oil and gear oil. According to the results of qualitative and quantitative analysis, some useful guidance is provided for its repair and maintenance. It is indicated that oil filtergraphy technology can extract the complete information contained in the oil to reflect the running status of the equipment. It has the advantage of high detection efficient and abundant analysis content, and can be extended to other equipment for oil monitoring and fault diagnosis.