液壓油在線污染度連續(xù)監(jiān)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(yàn)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污染連續(xù)檢測過程中，存在應(yīng)用環(huán)境復(fù)雜中流速隨機(jī)波動(dòng)和顆粒分布隨機(jī)變化的主要技術(shù)障礙。采用FARIMA數(shù)學(xué)模型和隨機(jī)過程譜分析方法實(shí)現(xiàn)了復(fù)雜環(huán)境流速信息實(shí)時(shí)識(shí)別與補(bǔ)償;并設(shè)計(jì)了新型顆粒污染傳感器。通過對(duì)第三方實(shí)驗(yàn)室實(shí)驗(yàn)及與客戶的測試比對(duì)，表明新型傳感器具有復(fù)雜應(yīng)用環(huán)境連續(xù)在線檢測重復(fù)性精度更優(yōu)的優(yōu)點(diǎn)。本傳感器產(chǎn)品已在部隊(duì)及許多大型工礦企業(yè)應(yīng)用，成為大型設(shè)備主動(dòng)維護(hù)的重要手段并為潤滑管理審計(jì)等工作提供技術(shù)保障，為發(fā)展節(jié)能減排可提供有效的技術(shù)支持。
關(guān)鍵詞：油液污染度；在線連續(xù)檢測；傳感器設(shè)計(jì)； FARIMA模型；隨機(jī)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?yàn)橛鸵涸诰檢測技術(shù)研究。
E-mail:sunyanshan@126.com
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