Time–frequency processing of track irregularities in high-speed train

2016 ◽  
Vol 66-67 ◽  
pp. 339-348 ◽  
Author(s):  
Jing Ning ◽  
Jianhui Lin ◽  
Bing Zhang
Keyword(s):  
High Speed ◽  
High Speed Train ◽  
Time Frequency ◽  
Track Irregularities ◽  
Frequency Processing

scholarly journals Random Response Analysis of Axle-Box Bearing of a High-Speed Train Excited by Crosswinds and Track Irregularities

2019 ◽  
Vol 68 (11) ◽  
pp. 10607-10617 ◽  
Author(s):  
Zhiwei Wang ◽  
Yang Song ◽  
Zhonghui Yin ◽  
Ruichen Wang ◽  
Weihua Zhang
Keyword(s):  
High Speed ◽  
Response Analysis ◽  
Random Response ◽  
High Speed Train ◽  
Track Irregularities

Vibration analysis of the axle bearings considering the combined errors for a high-speed train

2020 ◽  
Vol 234 (3) ◽  
pp. 481-497
Author(s):  
Jing Liu ◽  
Xinbin Li ◽  
Wennian Yu
Keyword(s):  
High Speed ◽  
Error Model ◽  
Manufacturing Processes ◽  
High Speed Train ◽  
The Road ◽  
Critical Elements ◽  
Proposed Model ◽  
Manufacturing Errors ◽  
High Speed Trains ◽  
Track Irregularities

Axle bearings are critical elements of high-speed trains. Although the quality and precision of axle bearings have been significantly improved, the manufacturing errors, such as the roundness and waviness errors, cannot be eliminated during their manufacturing processes. The axle bearings with the roundness and waviness errors have great influences on vibration performances of the high-speed trains. To obtain an in-depth understanding of the vibrations caused by the axle bearing with the combined errors considering both the roundness and waviness errors. This work conducts an improved analytical model for a high-speed train considering the axle bearings with the combined errors, which cannot be formulated by the previous train model considering single roundness or waviness errors. The combined errors are defined to include both the roundness and waviness errors. A new multiple cosine function is presented to model the combined errors. The time-depended force excitations produced by the combined errors are also considered in the dynamic model. A track irregularities model is utilized to formulate the road spectrum displacement excitations from the rail and roadbed. The influences of the error amplitude and order on the vibrations of high-speed train are analyzed. The results for the single roundness error model, single waviness error model, and combined errors model are compared to represent the superiority of proposed model. It depicts that this work can provide a more reasonable analytical method for understanding the vibrations of high-speed train considering the axle bearings with the combined manufacturing errors compared to the reported single error models.

Effect of track irregularities of high-speed railways on the thermal characteristics of the traction motor bearing

2020 ◽  
Vol 235 (1) ◽  
pp. 22-34
Author(s):  
Tingting Wang ◽  
Zhiwei Wang ◽  
Dongli Song ◽  
Weihua Zhang ◽  
Jiayuan Li ◽  
...  
Keyword(s):  
Thermal Analysis ◽  
Power Loss ◽  
High Speed ◽  
Operating Temperature ◽  
Thermal Characteristics ◽  
High Speed Train ◽  
Analysis Model ◽  
Traction Motor ◽  
Track Irregularities ◽  
Motor Bearing

The operating temperature plays a key role in the service reliability of ball bearings used in the traction motor of high-speed trains. Studies on the heat generation and temperature distributions of the bearing under the vehicle vibration environment are critical for designing the high-speed train traction motor bearing and to monitor its operation. In this paper, an SKF friction torque model that considers the inlet shear heating reduction and kinematic replenishment/starvation reduction was used to calculate the power loss of the bearing operating in a high-speed train. A thermal analysis model of the bearing, which takes into account the vehicle vibration due to track irregularities, was developed to study the thermal characteristics of the bearing operating in a high-speed train. Experiments were conducted on a service high-speed train (i.e. CRH380B) to validate the proposed bearing thermal analysis model. The thermal characteristics of the bearing and the influence of key factors on the operating temperature of the bearing under vehicle vibration due to track irregularities were studied with the proposed bearing thermal analysis model. The results show that the thermal failure of the bearing subassemblies most likely occurs at the balls region owing to the highest temperature in that region, compared to the inner and outer raceway of the bearing. The method of applying grease with appropriate kinematic viscosity should be adopted to reduce the power loss of bearing while meeting the lubrication requirement. The vehicle vibration due to track irregularities significantly influences the thermal characteristics of high-speed train motor bearings, which cannot be ignored in the thermal analysis of bearings operating in a high-speed train.

scholarly journals Real Time Cardan Shaft State Estimation of High-Speed Train Based on Ensemble Empirical Mode Decomposition

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Cai Yi ◽  
Jianhui Lin ◽  
Tengda Ruan ◽  
Yanping Li
Keyword(s):  
Real Time ◽  
Empirical Mode Decomposition ◽  
High Speed ◽  
Estimation Method ◽  
Ensemble Empirical Mode Decomposition ◽  
High Speed Train ◽  
Time Frequency ◽  
Mode Decomposition ◽  
Gearbox Vibration ◽  
Special Location

Due to the special location and structure of transmission system on high-speed train named CRH5, dynamic unbalance state of the cardan shaft will pose a threat to the train servicing safety, so effective methods that test the cardan shaft operating information and estimate the performance state in real time are needed. In this study a useful estimation method based on ensemble empirical mode decomposition (EEMD) is presented. By using this method, time-frequency characteristic of cardan shaft can be extracted effectively by separating the gearbox vibration acceleration data. Preliminary analysis suggests that the pinions rotating vibration separated from gearbox vibration by EEMD can be used as important assessment basis to estimate cardan shaft state. With two sets gearbox vibration signals collected from the in-service train at different running speed, the comparative analysis verifies that the proposed method has high effectiveness for cardan-shaft state estimate. Of course, it needs further research to quantify the performance state of cardan shaft based on this method.

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