Fault diagnosis system of bridge crane equipment based on fault tree and Bayesian network
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Fei Zhao | Yu Zheng | Zheng Wang | Yu Zheng | Zheng Wang | Fei Zhao
[1] Dimitris Kiritsis,et al. A Prognostic Decision Support Algorithm for a Heavy Construction Vehicle Maintenance Schedule , 2015 .
[2] S. Joe Qin,et al. Process data analytics in the era of big data , 2014 .
[3] Jian Hou,et al. Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes , 2016, Neurocomputing.
[4] Gary G. Yen,et al. Wavelet packet feature extraction for vibration monitoring , 2000, IEEE Trans. Ind. Electron..
[5] Felice C. Frankel,et al. Big data: Distilling meaning from data , 2008, Nature.
[6] Ping Zhang,et al. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process , 2012 .
[7] V. Sugumaran,et al. Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump , 2013 .
[8] Zhu Yongli,et al. Bayesian networks-based approach for power systems fault diagnosis , 2006, IEEE Transactions on Power Delivery.
[9] Qian Fan,et al. Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network , 2014 .
[10] Khashayar Khorasani,et al. Dynamic neural network-based fault diagnosis of gas turbine engines , 2014, Neurocomputing.
[11] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[12] Satish C. Sharma,et al. Fault diagnosis of ball bearings using machine learning methods , 2011, Expert Syst. Appl..
[13] Dimitri N. Mavris,et al. A Fault Diagnosis Method for Industrial Gas Turbines Using Bayesian Data Analysis , 2010 .
[14] Ayhan Mentes,et al. An application of fuzzy fault tree analysis for spread mooring systems , 2011 .
[15] Rolf Isermann,et al. Fault-diagnosis systems : an introduction from fault detection to fault tolerance , 2006 .
[16] Mohd Salman Leong,et al. A hybrid artificial neural network with dempster-shafer theory for automated bearing fault diagnosis , 2016 .
[17] Sun Jin,et al. A Bayesian network approach for fixture fault diagnosis in launch of the assembly process , 2012 .
[18] Amparo Alonso-Betanzos,et al. Automatic bearing fault diagnosis based on one-class ν-SVM , 2013, Comput. Ind. Eng..
[19] Meng Zhang,et al. Investigation of haul truck-related fatal accidents in surface mining using fault tree analysis , 2014 .
[20] K. I. Ramachandran,et al. Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM) , 2010, Appl. Soft Comput..
[21] Mariëlle Stoelinga,et al. Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools , 2014, Comput. Sci. Rev..
[22] Hai Qiu,et al. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics , 2006 .
[23] Yingning Qiu,et al. Bayesian network for wind turbine fault diagnosis. , 2012 .
[24] A. Batzias,et al. Fuzzy fault tree analysis as a mechanism for technical support to small/medium electroplaters on a quasi online/real-time basis , 2003, IEEE International Conference on Industrial Technology, 2003.
[25] Mao-Jiun J. Wang,et al. Hybrid fault tree analysis using fuzzy sets , 1997 .
[26] Jose E. Lopez,et al. Overview of Wavelet/Neural Network Fault Diagnostic Methods Applied to Rotating Machinery , 1996 .
[27] Shih-Fu Ling,et al. Machinery Diagnosis Based on Wavelet Packets , 1997 .
[28] Muhammad Numan,et al. Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines , 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).
[29] Birsen Yazici,et al. An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current , 1999 .
[30] N. R. Sakthivel,et al. Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine , 2011, Expert Syst. Appl..
[31] Xue-wen Chen,et al. Big Data Deep Learning: Challenges and Perspectives , 2014, IEEE Access.
[32] R. S. Chanda,et al. A reliability approach to transmission expansion planning using fuzzy fault-tree model , 1998 .
[33] Kary Främling,et al. Heat Recovery Unit Failure Detection in Air Handling Unit , 2018, APMS.