Remaining useful life prediction for piston pump based on HP filter and Wiener process
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摘要:
柱塞泵的性能退化主要由关键摩擦副的泄漏加剧所致，通过理论分析关键摩擦副的泄漏量，引入等效间隙的退化率参数和工况因素建立了柱塞泵的总泄漏量计算模型。在考虑测量数据误差的情况下采用HP（Hodrick-Prescott）滤波方法滤除随机噪声，借助柱塞泵总泄漏量计算模型结构，应用Wiener过程构建了滤波后的柱塞泵退化模型，并依此建立了其剩余使用寿命模型。模型分析结果表明：依据HP滤波分解方法所建的退化模型，柱塞泵工作900 h失效概率小于1%，而未滤波数据所得失效概率为28%，HP滤波数据更符合实际情况。
Abstract:The performance degradation of the piston pump is mainly caused by the increasing leakage of some key friction pairs. The leakage flow of the key friction pairs was analyzed theoretically, and the total leakage flow of the piston pump was established by introducing the degradation rate parameters of the equivalent clearance and the working condition factors. In the case of considering the measurement error, the HP (Hodrick-Prescott) filtering method was used to filter out the random noise. The degradation model of the piston pump was developed using Wiener process by calculating the total leakage flow of the piston pump after filtering noise. Based on the developed model, the remaining useful life was established. The degradation model analysis results showed the failure probability of the piston pump using HP filter was less than 1%, whereas it was 28% using raw data when the piston pump ran 900 h. Therefore, the degradation model using HP filter is more suitable for the piston pump.
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[1] 马纪明,黄怡鸿,郭健,等. 液压柱塞泵运动副磨损特性研究综述[J]. 液压与气动,2017(8): 84-94. MA Jiming,HUANG Yihong,GUO Jian,et al. Review of wear analyses research for main moving pairs in hydraulic axial piston pump[J]. Chinese Hydraulics & Pneumatics,2017(8): 84-94. (in Chinese doi: 10.11832/j.issn.1000-4858.2017.08.015 MA Jiming, HUANG Yihong, GUO Jian, et al . Review of wear analyses research for main moving pairs in hydraulic axial piston pump[J]. Chinese Hydraulics & Pneumatics,2017 (8 ):84 -94 . (in Chinese) doi: 10.11832/j.issn.1000-4858.2017.08.015[2] 金志杰. 基于性能退化数据的轴向柱塞泵状态识别和失效预测研究[D]. 河北 秦皇岛: 燕山大学,2018. JIN Zhijie. Research on state identification and invalid prediction about axial plunger pump based on the performance degradation data[D]. Qinhuangdao,Hebei: Yanshan University,2018. (in ChineseJIN Zhijie. Research on state identification and invalid prediction about axial plunger pump based on the performance degradation data[D]. Qinhuangdao, Hebei: Yanshan University, 2018. (in Chinese) [3] WANG Xingjian,LIN Siru,WANG Shaoping,et al. Remaining useful life prediction based on the Wiener process for an aviation axial piston pump[J]. Chinese Journal of Aeronautics,2016,29(3): 779-788. doi: 10.1016/j.cja.2015.12.020 [4] LI Tongyang,WANG Shaoping,SHI Jian,et al. An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps[J]. Chinese Journal of Aeronautics,2018,31(5): 941-948. doi: 10.1016/j.cja.2017.09.002 [5] 刘小平,郭斌,崔德军,等. 基于二元维纳过程的小样本齿轮泵可靠寿命预测[J]. 中国机械工程,2020,31(11): 1315-1322. LIU Xiaoping,GUO Bin,CUI Dejun,et al. Q-precentile life prediction based on bivariate Wiener process for gear pumps with small sample sizes[J]. China Mechanical Engineering,2020,31(11): 1315-1322. (in Chinese doi: 10.3969/j.issn.1004-132X.2020.11.007 LIU Xiaoping, GUO Bin, CUI Dejun, et al . Q-precentile life prediction based on bivariate Wiener process for gear pumps with small sample sizes[J]. China Mechanical Engineering,2020 ,31 (11 ):1315 -1322 . (in Chinese) doi: 10.3969/j.issn.1004-132X.2020.11.007[6] GUO Rui,ZHOU Jinsheng,ZHANG Chi,et al. Reliability evaluation of axial piston pump based on degradation failure[C]//2017 International Conference on Sensing,Diagnostics,Prognostics,and Control. Piscataway,US: IEEE,2017: 204-209. [7] 张弦,王宏力. 基于贯序正则极端学习机的时间序列预测及其应用[J]. 航空学报,2011,32(7): 1302-1308. ZHANG Xian,WANG Hongli. Time series prediction based on sequential regularized extreme learning machine and its application[J]. Acta Aeronautica et Astronautica Sinica,2011,32(7): 1302-1308. (in Chinese ZHANG Xian, WANG Hongli . Time series prediction based on sequential regularized extreme learning machine and its application[J]. Acta Aeronautica et Astronautica Sinica,2011 ,32 (7 ):1302 -1308 . (in Chinese)[8] 杨少康. 三参数威布尔分布轴向柱塞泵寿命预测研究[D]. 河北 秦皇岛: 燕山大学,2018. YANG Shaokang. Research on life prediction of axial piston pump with three parameter weibull distribution[D]. Qinhuangdao,Hebei: Yanshan University,2018. (in ChineseYANG Shaokang. Research on life prediction of axial piston pump with three parameter weibull distribution[D]. Qinhuangdao, Hebei: Yanshan University, 2018. (in Chinese) [9] 葛薇,王少萍. 航空液压泵磨损状况预测[J]. 北京航空航天大学学报,2011,37(11): 1410-1414. GE Wei,WANG Shaoping. Wear condition prediction of hydraulic pump[J]. Journal of Beijing University of Aeronautics and Astronautics,2011,37(11): 1410-1414. (in Chinese GE Wei, WANG Shaoping . Wear condition prediction of hydraulic pump[J]. Journal of Beijing University of Aeronautics and Astronautics,2011 ,37 (11 ):1410 -1414 . (in Chinese)[10] GUO Wendi,SUN Zhongchao,VILSEN S B,et al. Review of “grey box” lifetime modeling for lithium-ion battery: combining physics and data-driven methods[J]. Journal of Energy Storage,2022,56: 105992. doi: 10.1016/j.est.2022.105992 [11] 孙栓柱,江叶峰,董顺,等. 基于灰箱模型的中速磨煤机故障诊断方法[J]. 动力工程学报,2018,38(3): 211-220. SUN Shuanzhu,JIANG Yefeng,DONG Shun,et al. Fault diagnosis of a medium-speed coal mill based on grey box model[J]. Journal of Chinese Society of Power Engineering,2018,38(3): 211-220. (in Chinese doi: 10.3969/j.issn.1674-7607.2018.03.008 SUN Shuanzhu, JIANG Yefeng, DONG Shun, et al . Fault diagnosis of a medium-speed coal mill based on grey box model[J]. Journal of Chinese Society of Power Engineering,2018 ,38 (3 ):211 -220 . (in Chinese) doi: 10.3969/j.issn.1674-7607.2018.03.008[12] GRAY F M,SCHMIDT M. A hybrid approach to thermal building modelling using a combination of Gaussian processes and grey-box models[J]. Energy and Buildings,2018,165: 56-63. doi: 10.1016/j.enbuild.2018.01.039 [13] 高旭东,胡昌华,张建勋,等. 基于非线性分数布朗运动的光电设备剩余寿命自适应预测[J]. 光学学报,2020,40(24): 142-151. GAO Xudong,HU Changhua,ZHANG Jianxun,et al. Adaptive prediction of remaining useful life for optoelectronic equipment based on nonlinear fractional Brownian motion[J]. Acta Optica Sinica,2020,40(24): 142-151. (in Chinese GAO Xudong, HU Changhua, ZHANG Jianxun, et al . Adaptive prediction of remaining useful life for optoelectronic equipment based on nonlinear fractional Brownian motion[J]. Acta Optica Sinica,2020 ,40 (24 ):142 -151 . (in Chinese)[14] ZHANG Weiting,YANG Dong,WANG Hongchao. Data-driven methods for predictive maintenance of industrial equipment: a survey[J]. IEEE Systems Journal,2019,13(3): 2213-2227. doi: 10.1109/JSYST.2019.2905565 [15] LI Junxing,WANG Zhihua,LIU Xia,et al. A Wiener process model for accelerated degradation analysis considering measurement errors[J]. Microelectronics Reliability,2016,65: 8-15. doi: 10.1016/j.microrel.2016.08.004 [16] YE Zhisheng,WANG Yu,TSUI K L,et al. Degradation data analysis using Wiener processes with measurement errors[J]. IEEE Transactions on Reliability,2013,62(4): 772-780. doi: 10.1109/TR.2013.2284733 [17] 王宁晨,胡殿印,刘茜,等. 基于Wiener过程的涡轮盘榫槽裂纹扩展可靠性分析[J]. 航空动力学报,2022,37(11): 2440-2447. WANG Ningchen,HU Dianyin,LIU Xi,et al. Reliability analysis of crack growth in turbine disk mortise based on Wiener process[J]. Journal of Aerospace Power,2022,37(11): 2440-2447. (in Chinese WANG Ningchen, HU Dianyin, LIU Xi, et al . Reliability analysis of crack growth in turbine disk mortise based on Wiener process[J]. Journal of Aerospace Power,2022 ,37 (11 ):2440 -2447 . (in Chinese)[18] 戴洪德,李娟,景博,等. 基于HP滤波与非线性维纳过程的退化建模与失效分布研究[J]. 仪器仪表学报,2018,39(8): 63-71. DAI Hongde,LI Juan,JING Bo,et al. Study on degradation modeling and failure distribution based on HP filtering and nonlinear Wiener process[J]. Chinese Journal of Scientific Instrument,2018,39(8): 63-71. (in Chinese DAI Hongde, LI Juan, JING Bo, et al . Study on degradation modeling and failure distribution based on HP filtering and nonlinear Wiener process[J]. Chinese Journal of Scientific Instrument,2018 ,39 (8 ):63 -71 . (in Chinese)[19] SAKARYA N,DE JONG R M. A property of the hodrick–prescott filter and its application[J]. Econometric Theory,2020,36(5): 840-870. doi: 10.1017/S0266466619000331 [20] IVANTYSYN J,IVANTYSYNOVA M. Hydrostatic pumps and motors: principles,design,performance,modelling,analysis,control and testing[M]. Tokyo: Tech Books International,2003. [21] 杜尊令,张义民,王悦勇. 液压轴向柱塞泵容积效率可靠性灵敏度分析[J]. 哈尔滨工业大学学报,2020,52(7): 179-185. DU Zunling,ZHANG Yimin,WANG Yueyong. Reliability sensitivity analysis of hydraulic axial piston pump volumetric efficiency[J]. Journal of Harbin Institute of Technology,2020,52(7): 179-185. doi: 10.11918/201911042 DU Zunling, ZHANG Yimin, WANG Yueyong . Reliability sensitivity analysis of hydraulic axial piston pump volumetric efficiency[J]. Journal of Harbin Institute of Technology,2020 ,52 (7 ):179 -185 . doi: 10.11918/201911042[22] ALI CHOUDHARY M,HANIF M N,IQBAL J. On smoothing macroeconomic time series using the modified HP filter[J]. Applied Economics,2014,46(19): 2205-2214. doi: 10.1080/00036846.2014.894631 [23] SI Xiaosheng,WANG Wenbin,HU Changhua,et al. Remaining useful life estimation: a review on the statistical data driven approaches[J]. European Journal of Operational Research,2011,213(1): 1-14. doi: 10.1016/j.ejor.2010.11.018 -
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