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·1100 工程科学学报,第39卷,第7期 指标变化趋势,得出了以峭度指标作为机械设备故障 6] Chan GK,Asgarpoor S.Optimum maintenance policy with Mark- 预警的新方法,并且通过试验数据和企业现场数据进 ov processes.Electr Poier Syst Res,2006,76(6)452 行了验证,证明本文所提的故障预警方法可以有效提 Wang W.Overview of a semi-stochastic filtering approach for re- sidual life estimation with applications in condition based mainte- 前预警. nance.Proc Inst Mech Eng,Part 0:J Risk Reliability,2011, (2)本文使用模糊C均值聚类评估的方法,对设 225(2):185 备退化过程进行评估.该方法从整体振动角度出发, [8]Zhang S W,Zhou W X.Cost-based optimal maintenance decisions 对历史数据需求较少,并能准确的反映出设备的具体 for corroding natural gas pipelines based on stochastic degradation 退化状态 models.Eng Struct,2014,74:74 (3)提出一种基于经济效益的维修策略优化模 9]Zhang W J,Wang W B.Cost modelling in maintenance strategy optimisation for infrastructure assets with limited data.Reliability 型,给出基于实时状态的企业效益期望值,并以此作为 Eng Syst Saf,2014.130:33 建议指标,从而量化了维修建议,避免了模糊建议,具 [10]Wu F J,Wang T Y,Lee J.An online adaptive condition-based 有更广泛的实用性. maintenance method for mechanical systems.Mech Syst Signal (4)在维修策略优化模型的建立中,考虑了企业 Process,2010,24(8):2985 效益对维修决策的影响,使得模型更加完善,并且基于 [11]Faillettaz J,Or D.Failure criterion for materials with spatially 实时状态,对维修建议实时更新,而非预测,因此该方 correlated mechanical properties.Phys Rer E,2015,91(3): 032134 法更加准确,更具有效性 [12]Moghaddass R,Rudin C.The latent state hazard model,with application to wind turbine reliability.Ann Appl Statistics,2015, 参考文献 9(4):1823 [13]Stahli M,Sattele M,Huggel C,et al.Monitoring and prediction Jardine A K S.Lin D M,Banjevic D.A review on machinery di- in early warning systems for rapid mass movements.Nat Hazards agnostics and prognostics implementing condition-ased mainte- Earth Syst Sci,2015,15(4):905 nance.Mech Syst Signal Process,2006,20(7):1483 [14]Pan Y N,Chen J,Li X L.Fuzzy C-means based equipment per- Lei Y G,Han D,Lin J,et al.Planetary gearbox fault diagnosis formance degradation assessment.J Shanghai Jiaotong Unir, using an adaptive stochastic resonance method.Mech Syst Signal 2009,43(11):1794 Process,2013,38(1):113 (潘玉娜,陈进,李兴林.基于模糊C均值的设备性能退化 B]Shen Z W,Shi T,Shen Y N.Construction of a symmetrical shift- 评估方法.上海交通大学学报,2009,43(11):1794) invariant fractional overcomplete wavelet and its application in 05] Wang Z Q,Hu C H,Wang W B,et al.Wiener process-based bearing fault diagnosis.Chin J Eng,2015,37(3):378 onie prediction method of remaining useful life for draught fans (沈政伟,史天,申亚男.分数阶对称平移不变过完备小波的 in steel mills.J Unie Sci Technol Beijing,2014,36(10):1361 构造及其在轴承故障诊断中的应用.工程科学学报,2015, (王兆强,胡昌华,王文彬,等.基于Wiener过程的钢厂风 37(3):378) 机剩余使用寿命实时预测.北京科技大学学报,2014,36 4]Zhao X N,Feng Z P.Fault diagnosis of rolling element bearing (10):1361) based on ensemble empirical mode decomposition and cross energy [16]Wang Y H,Deng C.Hu X H,et al.Failure time estimation for operator.Chin J Eng,2015,37(Suppl 1):65) mechanical device based on performance degradation.Comput In- (赵晓宁,冯志鹏.基于集合经验模式分解和交叉能量算子的 tegr Manuf Syst,2015,21(8):2147 滚动轴承故障诊断.工程科学学报,2015,37(增刊1):65) 王远航,邓超,胡湘洪,等.基于性能退化的机械设备寿命 5]Cheng JS,Yu D J,Yang Y.The application of energy operator 预测.计算机集成制造系统,2015,21(8):2147 demodulation approach based on EMD in machinery fault diagno- [17]Lee J.Measurement of machine performance degradation using a sis.Mech Syst Signal Process,2007,21(2):668 neural network model.Comput Ind,1996,30(3):193工程科学学报,第 39 卷,第 7 期 指标变化趋势,得出了以峭度指标作为机械设备故障 预警的新方法,并且通过试验数据和企业现场数据进 行了验证,证明本文所提的故障预警方法可以有效提 前预警. ( 2) 本文使用模糊 C 均值聚类评估的方法,对设 备退化过程进行评估. 该方法从整体振动角度出发, 对历史数据需求较少,并能准确的反映出设备的具体 退化状态. ( 3) 提出一种基于经济效益的维修策略优化模 型,给出基于实时状态的企业效益期望值,并以此作为 建议指标,从而量化了维修建议,避免了模糊建议,具 有更广泛的实用性. ( 4) 在维修策略优化模型的建立中,考虑了企业 效益对维修决策的影响,使得模型更加完善,并且基于 实时状态,对维修建议实时更新,而非预测,因此该方 法更加准确,更具有效性. 参 考 文 献 [1] Jardine A K S,Lin D M,Banjevic D. A review on machinery di￾agnostics and prognostics implementing condition-based mainte￾nance. Mech Syst Signal Process,2006,20( 7) : 1483 [2] Lei Y G,Han D,Lin J,et al. Planetary gearbox fault diagnosis using an adaptive stochastic resonance method. Mech Syst Signal Process,2013,38( 1) : 113 [3] Shen Z W,Shi T,Shen Y N. Construction of a symmetrical shift￾invariant fractional overcomplete wavelet and its application in bearing fault diagnosis. Chin J Eng,2015,37( 3) : 378 ( 沈政伟,史天,申亚男. 分数阶对称平移不变过完备小波的 构造及其在轴承故障诊断中的应用. 工程科学学报,2015, 37( 3) : 378) [4] Zhao X N,Feng Z P. Fault diagnosis of rolling element bearing based on ensemble empirical mode decomposition and cross energy operator. Chin J Eng,2015,37( Suppl 1) : 65) ( 赵晓宁,冯志鹏. 基于集合经验模式分解和交叉能量算子的 滚动轴承故障诊断. 工程科学学报,2015,37( 增刊 1) : 65) [5] Cheng J S,Yu D J,Yang Y. The application of energy operator demodulation approach based on EMD in machinery fault diagno￾sis. Mech Syst Signal Process,2007,21( 2) : 668 [6] Chan G K,Asgarpoor S. Optimum maintenance policy with Mark￾ov processes. Electr Power Syst Res,2006,76( 6-7) : 452 [7] Wang W. Overview of a semi-stochastic filtering approach for re￾sidual life estimation with applications in condition based mainte￾nance. Proc Inst Mech Eng,Part O: J Risk Reliability,2011, 225( 2) : 185 [8] Zhang S W,Zhou W X. Cost-based optimal maintenance decisions for corroding natural gas pipelines based on stochastic degradation models. Eng Struct,2014,74: 74 [9] Zhang W J,Wang W B. Cost modelling in maintenance strategy optimisation for infrastructure assets with limited data. Reliability Eng Syst Saf,2014,130: 33 [10] Wu F J,Wang T Y,Lee J. An online adaptive condition-based maintenance method for mechanical systems. Mech Syst Signal Process,2010,24( 8) : 2985 [11] Faillettaz J,Or D. Failure criterion for materials with spatially correlated mechanical properties. Phys Rev E,2015,91 ( 3) : 032134 [12] Moghaddass R,Rudin C. The latent state hazard model,with application to wind turbine reliability. Ann Appl Statistics,2015, 9( 4) : 1823 [13] Sthli M,Sttele M,Huggel C,et al. Monitoring and prediction in early warning systems for rapid mass movements. Nat Hazards Earth Syst Sci,2015,15( 4) : 905 [14] Pan Y N,Chen J,Li X L. Fuzzy C-means based equipment per￾formance degradation assessment. J Shanghai Jiaotong Univ, 2009,43( 11) : 1794 ( 潘玉娜,陈进,李兴林. 基于模糊 C-均值的设备性能退化 评估方法. 上海交通大学学报,2009,43( 11) : 1794) [15] Wang Z Q,Hu C H,Wang W B,et al. Wiener process-based online prediction method of remaining useful life for draught fans in steel mills. J Univ Sci Technol Beijing,2014,36( 10) : 1361 ( 王兆强,胡昌华,王文彬,等. 基于 Wiener 过程的钢厂风 机剩余使用寿命实时预测. 北京科技大学学报,2014,36 ( 10) : 1361) [16] Wang Y H,Deng C,Hu X H,et al. Failure time estimation for mechanical device based on performance degradation. Comput In￾tegr Manuf Syst,2015,21( 8) : 2147 王远航,邓超,胡湘洪,等. 基于性能退化的机械设备寿命 预测. 计算机集成制造系统,2015,21( 8) : 2147 [17] Lee J. Measurement of machine performance degradation using a neural network model. Comput Ind,1996,30( 3) : 193 · 0011 ·
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