A fuzzy transition based approach for fault severity prediction in helical gearboxes
作者： Mariela Cerrada , Chuan Li , René-Vinicio Sánchez , Fannia Pacheco , Diego Cabrera
DOI: 10.1016/J.FSS.2016.12.017
关键词: Machine learning 、 Fault severity 、 Fault (power engineering) 、 Path (graph theory) 、 Hierarchical clustering 、 Mathematics 、 Fuzzy logic 、 Artificial intelligence 、 Failure mode and effects analysis 、 Data mining 、 Vibration 、 Field (computer science)
摘要: Abstract Rotating machinery is an important device supporting manufacturing processes, and a wide research works are devoted to detecting diagnosing faults in such machinery. Recently, prognosis health management rotating have received high attention as area, some advances this field focused on fault severity assessment its prediction. This paper applies fuzzy transition based model for predicting conditions helical gears. The approach combines Mamdani models hierarchical clustering estimate the membership degrees levels of samples extracted from historical vibration signals. These used weighted transitions modelling evolution along states over time, according certain degradation path. obtained able one step-ahead failure mode under study, by using current previous two available successive input samples. predictive was validated real data test bed with different damages tooth breaking Results show adequate predictions scenarios paths.
sci-hub.se 参考文章(83)
XiaoLi Zhang, Wei Chen, BaoJian Wang, XueFeng Chen, Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization Neurocomputing. ,vol. 167, pp. 260- 279 ,(2015) , 10.1016/J.NEUCOM.2015.04.069
Jun Hang, Jianzhong Zhang, Ming Cheng, Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine Fuzzy Sets and Systems. ,vol. 297, pp. 128- 140 ,(2016) , 10.1016/J.FSS.2015.07.005
Jinglong Chen, Zipeng Li, Jun Pan, Gaige Chen, Yanyang Zi, Jing Yuan, Binqiang Chen, Zhengjia He, Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review Mechanical Systems and Signal Processing. ,vol. 70, pp. 1- 35 ,(2016) , 10.1016/J.YMSSP.2015.08.023
Dong Wang, K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: Revisited Mechanical Systems and Signal Processing. ,vol. 70, pp. 201- 208 ,(2016) , 10.1016/J.YMSSP.2015.10.007
Mariela Cerrada, Grover Zurita, Diego Cabrera, René-Vinicio Sánchez, Mariano Artés, Chuan Li, Fault diagnosis in spur gears based on genetic algorithm and random forest Mechanical Systems and Signal Processing. ,vol. 70, pp. 87- 103 ,(2016) , 10.1016/J.YMSSP.2015.08.030
Zhiwen Liu, Wei Guo, Zhangchun Tang, Yongqiang Chen, Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection Sensors. ,vol. 15, pp. 21857- 21875 ,(2015) , 10.3390/S150921857
Diego Cabrera, Fernando Sancho, René-Vinicio Sánchez, Grover Zurita, Mariela Cerrada, Chuan Li, Rafael E. Vásquez, Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition Frontiers in Mechanical Engineering. ,vol. 10, pp. 277- 286 ,(2015) , 10.1007/S11465-015-0348-8
Jianbo Yu, Machine health prognostics using the Bayesian-inference-based probabilistic indication and high-order particle filtering framework Journal of Sound and Vibration. ,vol. 358, pp. 97- 110 ,(2015) , 10.1016/J.JSV.2015.08.013
Idriss El-Thalji, Erkki Jantunen, A summary of fault modelling and predictive health monitoring of rolling element bearings Mechanical Systems and Signal Processing. ,vol. 60, pp. 252- 272 ,(2015) , 10.1016/J.YMSSP.2015.02.008
Michael Beer, A Summary on Fuzzy Probability Theory granular computing. pp. 5- 6 ,(2010) , 10.1109/GRC.2010.78