Research On Fault Diagnosis Of Key Components Of High Power Full Hydraulic Tunnel Drilling Rig

With the continuous expansion of the underground application scenarios of the fully hydraulic tunnel drill,the demand for the output torque and working efficiency of the drill has been significantly increased.The mechanical structure and system function of drilling rig are becoming more and more complex,and the proportion of failure and loss caused by faults is gradually increasing.In this paper,the fault diagnosis of high power fully hydraulic tunnel drill used in coal mine is researched,and the fault diagnosis of key structure,including the power head,power pump station and hydraulic oil,is proposed in using statistical analysis,algorithm development and test research methods.The research results are significant for improving the ability of condition monitoring and fault diagnosis of drilling rig and ensuring the safe and stable operation of drilling rig.The main research contents are as follows:(1)Taking ZDY25000 LDK coal mine crawler full hydraulic tunnel drill as an example,according to system composition and working principle,the failure of ZDY12000 LD,ZDY15000LD,ZDY23000 LDK,ZDY25000LDK and other highpower are tracked in coal mine.Fault tree model is carried out for key components,and common failure modes and causes of failure are analyzed,and diagnosis strategies for key components of drilling rig are proposed according to different fault characteristics.(2)Through the vibration test of the power head under different working conditions,the vibration characteristics of the faulty motor are analyzed from the time domain and frequency domain respectively,after the vibration signal is denoised.The denoised vibration signal is decomposed and reconstructed by EMD method,and then the Hilbert time-frequency analysis is carried out.By analyzing the characteristics of the signal through the amplitude parameter index,like the kurtosis index,margin index and root mean square value which can represent the state of the power head.The indexes provides the basis for realizing the intelligent fault identification and diagnosis of the power head of high-power intelligent directional drilling rig.(3)The research of the oil dielectric constant in the normal working state and fault state of the drilling rig,the degree of oil pollution can be determined.Through the calibration test of standard oil and polluted oil,the oil change threshold is determined.Oil monitoring was carried out on drilling rig at different working stages,oil quality deterioration models were established,oil quality of hydraulic system was judged by the change rate of dielectric constant,and oil change time was determined,so as to effectively control the failure of hydraulic system caused by oil pollution and improve the overall reliability of drilling rig.(4)Aiming at the problems of fuzzy logic relationship among various components in hydraulic power pump station system,a fault diagnosis method of hydraulic power pump station of coal mine tunnel drill based on T-S fuzzy fault tree is proposed.The hierarchical structure of drill hydraulic power pump station system is analyzed,and the T-S fuzzy fault tree is used to describe the performance variables of the system.The fuzzy probability of the hydraulic power pump station under different fault degrees is obtained,and the importance order of each bottom event is determined through the T-S probability significance analysis,and the weak link of the hydraulic power pump station under different fault degrees is pointed out,which is verified in the engineering test of Tangjiahui Coal Mine in Ordos.The fault diagnosis scheme for typical faults of key components of high power fully hydraulic tunnel rig is proposed to realize the identification and location of the faults of the rig.The stable and efficient operation of the rig can be ensured though the proposed method.It provides a reference for improving the reliability of mine tunnel drilling rig and drilling equipment.