Research On Fault Detection And Recognition Of Hoist Spindle Device

The spindle device is the core component of the mine hoist.During the operation and lifting of the hoist,the spindle device almost bears all dynamic and static loads.The spindle device is a typical rotor-bearing system.It can easily cause faults under long-term continuous variable load and high load conditions.The fault types of the spindle device are divided into single fault and composite fault.The probability of composite fault is greater than single fault.The abnormal vibration and additional noise generated after the failure of the spindle device directly affect the normal operation of the hoist,which will reduce the overall working performance of the mine hoisting system and bring great safety hazards to the mining production safety.Under the auspices of the National Key R&D Program project “Research on the Composite Failure Mechanism and Reliability Evaluation Technology of Mechanical Key Components such as Equipment Spindles”(2017YFF0210604),the project carried out research on fault detection and identification of hoist spindle equipment,and key components of the spindle device.The study of fault feature extraction and fault defect type identification for single fault and composite fault provides an important theoretical basis for the reliable operation of the spindle device.Firstly,the typical fault simulation test of the rolling bearing of the spindle device is carried out.Combined with the vibration signal under the normal bearing condition,the variation of the vibration signal of the bearing under the three different fault conditions of the outer ring,the inner ring and the rolling element is analyzed.The method of EMD decomposition is used.Feature extraction of bearing fault signal;combined with the characteristic frequency of bearing fault and using the inherent modal energy entropy of vibration signal to identify different types of fault defects of bearing.Secondly,the typical fault simulation test of the main shaft of the spindle device is carried out,and the vibration signal of the main shaft under the three conditions of bending,misalignment and bending and misalignment is analyzed in combination with the vibration signal under the normal spindle condition;Vibration characteristics,using EMD decomposition method to extract the fault signal of the main shaft;combined with the characteristic frequency of the main shaft fault,the inherent modal energy entropy of the vibration signal is used to identify different types of fault defects of the main shaft.Finally,the composite fault test of the typical components of the spindle device is carried out,and the variation law of the vibration signal of the single fault of the bearing and the spindle is combined to explore the variation law of the composite fault vibration signal of the spindle bending and the outer ring of the bearing,the misalignment of the main shaft and the inner ring of the bearing;The single fault characteristic frequency of the bearing and the main shaft is extracted and extracted by the EMD decomposition.The characteristic frequency of the composite fault is used to identify the defect types of different composite faults by using the natural modal energy entropy of the vibration signal.