液壓油在線污染度連續監測傳感器研究
( 1天津大學精密測試技術及儀器國家重點實驗室, 天津 300072; 2北京航峰科偉裝備技術股份有限公司，北京，100141）
摘 要：本研究的目的為研究液壓油在線污染連續檢測過程中，存在應用環境復雜中流速隨機波動和顆粒分布隨機變化的主要技術障礙。采用FARIMA數學模型和隨機過程譜分析方法實現了復雜環境流速信息實時識別與補償;并設計了新型顆粒污染傳感器。通過對第三方實驗室實驗及與客戶的測試比對，表明新型傳感器具有復雜應用環境連續在線檢測重復性精度更優的優點。本傳感器產品已在部隊及許多大型工礦企業應用，成為大型設備主動維護的重要手段并為潤滑管理審計等工作提供技術保障，為發展節能減排可提供有效的技術支持。
關鍵詞：油液污染度；在線連續檢測；傳感器設計； FARIMA模型；隨機過程譜分析
Research of method and sensor for on-line hydraulic oil
contamination detection
SUN Yan-shan1，2 DENG Ke2
(1 Tianjin University, State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin 300072;2 BEIJING HANG FENG KE WEI EQUIPMENT TECHNOLOGY CO.,LTD，BEIJING，100141）
Abstract: The purpose of this research is to get the solution of technical problem when execute complex environmental in-line hydraulic oil contamination detection which are mainly cause by flow change quickly and randomly and the distribution of particles is also change randomly. A new type of sensor is designed by using the FARIMA model and random processes spectrum analysis method which can realize the recognition and compensation of flow information and change of the distribution about particles in oil. It is proved that it can solve relative impediment which has better repeatability precision by comparing the results of test conducted by customers and third-party lab. This new type of sensor has already been used in many large–scale industrial and mining enterprises as production, which can be an important method to improve the effect to maintain large equipment initiatively and provide reliable technical ensure to lubrication audit.
Keywords: Oil contamination; on-line detection; FARIMA model；random processes spectrum analysis; sensor designation
作者簡介：孫衍山(1982-)，男，博士，工程師，研究方向為油液在線檢測技術研究。
E-mail:sunyanshan@126.com
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