基于多层流模型的矿井提升机可靠性分析及故障诊断的研究
[Abstract]:Mine hoist is used to transport materials, personnel lifting equipment, hoisting capacity determines the production of coal, once there is a fault, will affect the amount of coal mining. Mine hoist mainly includes mechanical system, hydraulic system and electric control system, each part has its own complex internal structure, any part of which will have an impact on production and economic losses. The reliability analysis (MFMRA) method based on multi-laminar flow model can decompose the complex system into different functional layers. It is different from the traditional reliability analysis method. The system can be modeled and simulated directly. Through MFMRA calculation, the reliability of each target of the system is obtained, and the system is evaluated. The alarm information is analyzed and fault search is carried out through the path of multi-laminar flow model so as to locate the fault and achieve the purpose of fault diagnosis. By studying the basic principle, modeling method and fault diagnosis rules of multi-laminar flow model (MFM), MFM is applied to mine hoist system, and the hydraulic station and main loop are modeled by MFM, respectively. The reliability of each target is obtained by using MFMRA, and the correctness of the calculation result is verified by GO method. By introducing the concept of time point, the variation rule of reliability with time in normal working process of hydraulic station is obtained. The fault tree of safe braking process based on multi-laminar flow model and the fault type based on multi-laminar flow model and its influence analysis (FMEA). Are established. The fault diagnosis and analysis process of electronic control system based on MFM is established by using the rules of fault diagnosis, and a power system simulation model is built by using PSCAD circuit simulation software, which verifies the correctness of fault diagnosis method based on MFM. Finally, the MFM graphical modeling platform is developed with C language, which improves the efficiency of MFM modeling. From the point of view of reliability and fault diagnosis, the reliability analysis and fault diagnosis of hydraulic station and electronic control system of hoist are carried out in this paper. On the one hand, it improves the safety and reliability of the hoist operation, and can predict the running condition of the system, so that it can better realize the safety production; On the other hand, when the fault occurs, the fault source can be found quickly, which greatly shortens the time of system maintenance. It is of great significance to ensure the safety of coal mine production and improve the reliability of hoist.
【学位授予单位】:山东科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TD534
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