As an important component of load transfer,various fatigue damages occur in the track as the rail service life and train traffic increase gradually,such as rail corrugation,rail joint damage,uneven thermite welds,rail ...As an important component of load transfer,various fatigue damages occur in the track as the rail service life and train traffic increase gradually,such as rail corrugation,rail joint damage,uneven thermite welds,rail squats fas-tener defects,etc.Real-time recognition of track defects plays a vital role in ensuring the safe and stable operation of rail transit.In this paper,an intelligent and innovative method is proposed to detect the track defects by using axle-box vibration acceleration and deep learning network,and the coexistence of the above-mentioned typical track defects in the track system is considered.Firstly,the dynamic relationship between the track defects(using the example of the fastening defects)and the axle-box vibration acceleration(ABVA)is investigated using the dynamic vehicle-track model.Then,a simulation model for the coupled dynamics of the vehicle and track with different track defects is established,and the wavelet power spectrum(WPS)analysis is performed for the vibra-tion acceleration signals of the axle box to extract the characteristic response.Lastly,using wavelet spectrum photos as input,an automatic detection technique based on the deep convolution neural network(DCNN)is sug-gested to realize the real-time intelligent detection and identification of various track problems.Thefindings demonstrate that the suggested approach achieves a 96.72%classification accuracy.展开更多
As a key safety component of the high-speed train, fatigue fracture of the axle would lead to major accidents such as derailment or overturning. The complexity of the axle dynamic stress test seriously enhances the di...As a key safety component of the high-speed train, fatigue fracture of the axle would lead to major accidents such as derailment or overturning. The complexity of the axle dynamic stress test seriously enhances the difficulty of axle fatigue damage analysis. In this paper, the dynamic stress test of the high-speed train axle was carried out,the axle box acceleration was monitored on-track during the test, and the relationship between the axle stress spectrum and acceleration was analyzed on-track. The results show that the relationships between the axle equivalent stresses and the Root Mean Square(RMS) values of the axle box vertical acceleration and lateral acceleration exhibit a strong joint probability density distribution. The concept of the virtual surface density of wheel-rail contact is also proposed to realize the purpose of using axle box acceleration to deduce axle equivalent force. The results quantify the relationship between axle box acceleration and axle equivalent force, provide a new method for predicting the axle damage using the acceleration RMS values, and open up a new approach for structural health monitoring of high-speed train axles.展开更多
Axle-box bearings are crucial components of high-speed trains and operate in challenging conditions.As service mileage increases,these bearings are susceptible to various failures,posing a safety risk to high-speed tr...Axle-box bearings are crucial components of high-speed trains and operate in challenging conditions.As service mileage increases,these bearings are susceptible to various failures,posing a safety risk to high-speed train operations.Thus,it is crucial to examine the deployment methods of axle-box bearings.A dynamic model of axle-box bearings for high-speed trains with compound faults is constructed by setting up separate faults in two rows of double-row tapered roller bearings based on a single-fault model.The model's high accuracy in expressing compound faults is verified through corresponding experimental results.Then,the frequency domain diagram of system vibration response under varying rotational speed conditions is obtained,and the amplitude corresponding to the single frequency is extracted and analyzed to identify the optimal rotational speed band for composite fault diagnosis.Finally,the optimal speed band is analyzed under different faults,different load sizes,and different composite fault types.It can be concluded that the determination of the optimal speed band is solely influenced by the composite fault type and is independent of the fault and load sizes.Finally,it is concluded that the energy proportion of faults in different positions changes periodically with the change in speed,and this phenomenon is not affected by the fault sizes or load magnitude.展开更多
基金supported by the Doctoral Fund Project(Grant No.X22003Z).
文摘As an important component of load transfer,various fatigue damages occur in the track as the rail service life and train traffic increase gradually,such as rail corrugation,rail joint damage,uneven thermite welds,rail squats fas-tener defects,etc.Real-time recognition of track defects plays a vital role in ensuring the safe and stable operation of rail transit.In this paper,an intelligent and innovative method is proposed to detect the track defects by using axle-box vibration acceleration and deep learning network,and the coexistence of the above-mentioned typical track defects in the track system is considered.Firstly,the dynamic relationship between the track defects(using the example of the fastening defects)and the axle-box vibration acceleration(ABVA)is investigated using the dynamic vehicle-track model.Then,a simulation model for the coupled dynamics of the vehicle and track with different track defects is established,and the wavelet power spectrum(WPS)analysis is performed for the vibra-tion acceleration signals of the axle box to extract the characteristic response.Lastly,using wavelet spectrum photos as input,an automatic detection technique based on the deep convolution neural network(DCNN)is sug-gested to realize the real-time intelligent detection and identification of various track problems.Thefindings demonstrate that the suggested approach achieves a 96.72%classification accuracy.
基金supported by the National Natural Science Foundation of China(52075032)the Science and Technology Research and Development Program of China State Railway Group Co.,Ltd.(K2022J023).
文摘As a key safety component of the high-speed train, fatigue fracture of the axle would lead to major accidents such as derailment or overturning. The complexity of the axle dynamic stress test seriously enhances the difficulty of axle fatigue damage analysis. In this paper, the dynamic stress test of the high-speed train axle was carried out,the axle box acceleration was monitored on-track during the test, and the relationship between the axle stress spectrum and acceleration was analyzed on-track. The results show that the relationships between the axle equivalent stresses and the Root Mean Square(RMS) values of the axle box vertical acceleration and lateral acceleration exhibit a strong joint probability density distribution. The concept of the virtual surface density of wheel-rail contact is also proposed to realize the purpose of using axle box acceleration to deduce axle equivalent force. The results quantify the relationship between axle box acceleration and axle equivalent force, provide a new method for predicting the axle damage using the acceleration RMS values, and open up a new approach for structural health monitoring of high-speed train axles.
基金National Natural Science Foundation of China,Grant/Award Numbers:12032017,12002221Key Scientific Research Projects of China Railway Group,Grant/Award Number:N2021J032+1 种基金S&T Program of Hebei,Grant/Award Number:21567622HNational Scholarship Council of China。
文摘Axle-box bearings are crucial components of high-speed trains and operate in challenging conditions.As service mileage increases,these bearings are susceptible to various failures,posing a safety risk to high-speed train operations.Thus,it is crucial to examine the deployment methods of axle-box bearings.A dynamic model of axle-box bearings for high-speed trains with compound faults is constructed by setting up separate faults in two rows of double-row tapered roller bearings based on a single-fault model.The model's high accuracy in expressing compound faults is verified through corresponding experimental results.Then,the frequency domain diagram of system vibration response under varying rotational speed conditions is obtained,and the amplitude corresponding to the single frequency is extracted and analyzed to identify the optimal rotational speed band for composite fault diagnosis.Finally,the optimal speed band is analyzed under different faults,different load sizes,and different composite fault types.It can be concluded that the determination of the optimal speed band is solely influenced by the composite fault type and is independent of the fault and load sizes.Finally,it is concluded that the energy proportion of faults in different positions changes periodically with the change in speed,and this phenomenon is not affected by the fault sizes or load magnitude.
