液壓油在線(xiàn)污染度連續監測傳感器研究

( 1天津大學(xué)精密測試技術(shù)及儀器國家重點(diǎn)實(shí)驗室, 天津　300072; 　2北京航峰科偉裝備技術(shù)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(xiàn)污染連續檢測過(guò)程中，存在應用環(huán)境復雜中流速隨機波動(dòng)和顆粒分布隨機變化的主要技術(shù)障礙。采用FARIMA數學(xué)模型和隨機過(guò)程譜分析方法實(shí)現了復雜環(huán)境流速信息實(shí)時(shí)識別與補償;并設計了新型顆粒污染傳感器。通過(guò)對第三方實(shí)驗室實(shí)驗及與客戶(hù)的測試比對，表明新型傳感器具有復雜應用環(huán)境連續在線(xiàn)檢測重復性精度更優(yōu)的優(yōu)點(diǎn)。本傳感器產(chǎn)品已在部隊及許多大型工礦企業(yè)應用，成為大型設備主動(dòng)維護的重要手段并為潤滑管理審計等工作提供技術(shù)保障，為發(fā)展節能減排可提供有效的技術(shù)支持。

關(guān)鍵詞：油液污染度；在線(xiàn)連續檢測；傳感器設計； FARIMA模型；隨機過(guò)程譜分析

Research of method and sensor for on-line hydraulic oil

contamination detection

SUN Yan-shan^1，2  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(jiǎn)介：孫衍山(1982-)，男，博士，工程師，研究方向為油液在線(xiàn)檢測技術(shù)研究。

E-mail:sunyanshan@126.com

 

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