[1] PENG Z,KESSISSOGLOU N. An integrated approach to fault diagnosis of machinery using wear debris and vibration analysis[J]. Wear,2003,255(7):1221-1232. [2] ASRAR N,NICKERSON W. Failure of drilling tools due to degradation of hydraulic oils[J]. Materials Performance,2015,54(4):60-64. [3] EDMONDS J,RESNER M S,SHKARLET K. Detection of precursor wear debris in lubrication systems[C]//Aerospace Conference. IEEE,2000. [4] WANG Ziping,XUE Xian,YIN He,et al. Research progress on monitoring and separating suspension particles for lubricating oil[J]. Complexity,2018,5:1-9. [5] GUREEV A A,POPOVA N N,NIZ'EVA O S,et al. Effect of water contamination on aging of hydraulic oil[J]. Chemistry & Technology of Fuels & Oils,1992,28(12):674-677. [6] TOMS A,TOMS L. Oil analysis and condition monitoring[M]//Chemistry and Technology of Lubricants. Netherlands:Springer,2010. [7] SCHRANK K,MERRENHOFF H,STAMMEN C. Investigation of different methods to measure the entrained air content in hydraulic oils[C]//ASME/BATH. 2014. Symposium on Fluid Power and Motion Control. [8] ABOUEL-KASEM A,ALTURKI F A,AHMED S M,Fractal analysis of cavitation eroded surface in dilute emulsions[J]. Journal of Tribology,2011,133(4):41403-41412. [9] ZHU Junda,YOON J M,HE D,et al. Online particle-contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines[J]. Wind Energy,2015,18(6):1131-1149. [10] MABE J,ZUBIA J,GORRITXATEGI E. Photonic low cost micro-sensor for in-line wear particle detection in flowing lube oils[J]. Sensors,2017,17(3):586. [11] BORDATCHEV E,AGHAYAN H,YANG J. Object shape-based optical sensing methodology and system for condition monitoring of contaminated engine lubricants[J]. Optics and Lasers in Engineering,2014,54:128-138. [12] 龚小龙,田洪祥,孙云岭,等. 遮光法颗粒计数器测量结果的影响因素研究[J]. 润滑与密封,2016,41(8):133-135. GONG Xiaolong,TIAN Hongxiang,SUN Yunling,et al. Influencing factors on measurement results of light extinction particle counters[J]. Lubrication Engineering,2016,41(8):133-135. [13] WHITSEL H K,NORDLING D A,NEMARICH C P. Online wear-particle monitoring based on ultrasonic detection[J]. Intech,1986,33(6):53-57. [14] ZHANG Jie,DRINKWATER B W,DWYER-JOYCE R S. Monitoring of lubricant film failure in a ball bearing using ultrasound[J]. Journal of Tribology,2006,128(3):612-618. [15] WANG Yanshan,ZHANG Meiju,LIU Defeng. A compact on-line particle counter sensor for hydraulic oil contamination detection[J]. Applied Mechanics and Materials,2012,130-134:4198-4201. [16] MILLER J L,KITALJEVICH D. In-line oil debris monitor for aircraft engine condition assessment[C]//Aerospace Conference Proceedings,2000 IEEE. IEEE,2000. [17] 曾霖,张洪朋,滕怀波,等. 一种船机油液多污染物检测新方法研究[J]. 机械工程学报,2018,54(12):125-132. ZENG Lin,ZHANG Hongpeng,TENG Huaibo,et al. Novel method for the detection of multi-contaminants in marine lubricants[J]. Journal of Mechanical Engineering,2018,54(12):125-132. [18] LI Du,ZHU Xiaoliang,JIANG Zhe. An inductive sensor for real time measurement of plantar normal and shear forces distribution[J]. IEEE Transactions on Biomedical Engineering,2015,62(5):1316-1323. [19] HAN Zhibin,WANG Yishou,QING Xinlin. Characteristics study of in-situ capacitive sensor for monitoring lubrication oil debris[J]. Sensors,2017,17(12):2851. [20] MURALI S,XIA Xingao,JAGTIANI A V,et al. Capacitive Coulter counting:detection of metal wear particles in lubricant using a microfluidic device[J]. Smart Materials and Structures,2009,18(3):037001. [21] ZENG Lin,ZHANG Hongpeng,ZHAO Xupeng,et al. A novel inductance/capacitance microfluidic chip for the multi-contamination detection in marine hydraulic oil[C]//Prognostics and System Health Management Conference. Phm-harbin. 2017. [22] ZHU Xiaoliang,ZHONG Chong,JIANG Zhe. A high sensitivity wear debris sensor using ferrite cores for online oil condition monitoring[J]. Measurement Science and Technology,2017,28(7):075102. [23] WEI Hong,WANG Shaoping,TOMOVIC M,et al. Radial inductive debris detection sensor and performance analysis[J]. Measurement Science and Technology,2013,24(12):125103. [24] 傅舰艇,詹惠琴,古军. 三线圈电感式磨粒传感器的检测电路[J]. 仪表技术与传感器,2012(2):5-7. FU Jianting,ZHAN Huiqin,GU Jun. Detection circuit design of three-Coil inductive particle sensor[J]. Instrument Technique and Sensor,2012(2):5-7. [25] 刘恩辰,张洪朋,张鑫睿,等. 双线式螺线管型磨粒传感器设计及其实验研究[J]. 大连海事大学学报,2016,42(2):102-106. Liu Enchen,ZHANG Hongpeng,ZHANG Xinrui,et al. Dual-coil solenoid sensor design and its experimental study for wear particles detection[J]. Journal of Dalian Maritime University,2016,42(2):102-106. [26] 范红波,张英堂,程远,等. 磨粒径向分布对电感式磨粒传感器测试结果的影响[J]. 传感技术学报,2010,23(7):958-962. FAN Hongbo,ZHANG Yingtang,CHENG Yuan,et al. Effect of the radial distribution of the wear debris position on the testing results of inductive wear debris sensor[J]. Chinese Journal of Sensors & Actuators,2010,23(7):958-962. [27] 张洪朋,张兴明,郭力,等. 微流体油液检测芯片设计[J]. 仪器仪表学报,2013,34(4):762-767. ZHANG Hongpeng,ZHANG Xinming,GUO Li,et al. Design of the oil detection microfluidic chip[J]. Chinese Journal of Scientific Instrument,2013,34(4):762-767. [28] 刘恩辰. 船用液压油多种污染物一体化检测研究[D]. 大连:大连海事大学,2017. LIU Enchen. Research on the detection of various pollutants in marine hydraulic oil in an integrated chip[D]. Dalian:Dalian Maritime University,2017. |