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| Drilling pump remaining working life prediction based on reliability analysis and condition monitoring |
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PEI Jun feng1, ZHANG Si wei2, QI Ming xia3, ZHANG Zhi yi4
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(1.College of Mechanical and Energy Engineering in Changzhou University, Changzhou 213016, China;2.Faculty of Mechanical and Oil Gas Storage and Transportation Engineering in China University of Petroleum, Beijing 102249, China;3.College of Electromechanical Engineering in China University of Petroleum, Dongying 257061, China;4.Drilling Engineering Company, Henan Petroleum Exploration Bureau, Nanyang 473132,China)
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| Abstract: |
| Based on probability and statistics analysis of a large number of overhaul interval time data of similar drilling pumps, the characteristic parameters related to the operating reliability of the drilling pump were obtained. These parameters provide macroscopic basis for life prediction of drilling pump. Because the life of the worst bearing at the power end represents the life of the drilling pump, each optimal domain vibration information obtained from condition monitoring was used as fuzzy input vectors of a neural network system, then the value of fault membership degree of the bearing was calculated through the RBF neural network. The value acts as the correction factor of theoretical bearing life calculation formula. As a result, the remaining working life of the drilling pump can be determined. The actual predicted results show the scientific and reasonable prediction method. |
| Key words: drilling pump power end bearing reliability analysis condition monitoring remaining working life prediction |
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