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Wysłany: Pon 0:34, 20 Gru 2010
Temat postu: air jordans Based on Wavelet Packet - fuzzy neural
Based on Wavelet Packet - fuzzy neural network for fault diagnosis of engine pump
. 1062-0.2706-0.43320.8063-0.8191-0.55300.0632-0.34228-0.0417-0.0614 ~ 0.31910.1892-0.3869-0.4114-0. 45850.18109-0.3694-0.18430.20140.4865-0.35680.1438-0.22330.254710-0.04480.6488-0.39040.2703-0.8392-0.5007-0. 3439- 0.110511-0.1707-0.2476-0.2362-0.1942-0.40460.8874-0.25100.160712-0.67270.2994-0.05881.00001.00000.4845- 0.32810.356113-0.3680-0.0518-0.07660.5586-0.00500.2862-0.44470.157514-0.40330.08060.08730.3559-0.38690.40o6-0. 31420.0251150.9701-0.8560-0.9786-1.0000-0.9899-0.9964-0.9980-0.997916-0.7042-0.06140. O6950.7703-0.2O600.5304-0.16210.693517-0.7293-0.2361-0.21210.6667-0.42711.0000-0.24310.4885180.38341. () 000-0.49730.5225-0.9799-0.9721-0.6996-0.900719-0.58210.0173-0.29060.18020.96980.53130.43870. O66720-0.57320.1651-0.18720.04500.18590.48630.0o400.330521-1.0000-0.10561.00000.4910-0.16580.41510.86761.000022-0.6795-0. 24380.57220.25680.17590.14741.00000.473623-0.54O9-0.37430.41530.2973-0.4171-0.05900.77080.5836240.11820.4511-0.44740.2703-0. 7789-0.6025-0.3142-0.3924 iterations normalized data in Figure 3, after the fitting precision of BP neural network to indicate the pump through the engine unit 4 Conclusion fault signal energy of each frequency band of wavelet packet decomposition and neural network fuzzy Fault diagnosis of the type of engine pump unit identification,
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, achieved good results. Failure frequency distribution for the failure of more dispersed, the energy of wavelet packet decomposition, without any loss of vibration signals, based on the neural network improves the accuracy of fault identification. Ensure the normal operation of the engine pump units, improve the reliability of the engine pump units, engine pump units on the rapid identification of early failure are very important significance. References Yu and Ji,
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, HAN Qing Tai, Li Shen, et al. Fault Diagnosis Engineering [M]. Beijing: Metallurgical Industry Press, 2001. Fei Sike Technology R & D center. Wavelet analysis and application of auxiliary Matlab6.5 [J]. Beijing: Electronic Industry Press. Zhou Donghua, Ye Yinzhong. Modern Fault Diagnosis and Fault Tolerant Control [M]. Beijing: Tsinghua University Press, 2000. Cui Jintai. Introduction to Wavelet Analysis [M]. Xi'an: Xi'an Jiaotong University Press,
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, 1995. Side Zhao Qi,
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, Zhang workers. Pattern Recognition [M]. Beijing: Tsinghua University Press, 1999. Duan Li Xiang, ZHANG Lai-bin, WANG Zhao-hui. Diesel engine combustion system using wavelet packet neural network fuzzy fault diagnosis [J]. Mechanical Strength, 2006,
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,28 (1):】. 5. Author: Wu Jianjun (1981 *), PhD students, research interests include fuel pump fault diagnosis equipment, mailing address: 400016, Chongqing, Chongqing Logistical Engineering Graduate 4 team. 1J11J1JI II
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