Psychoacoustic Properties Analysis on Interior Noise of High-Speed Trains

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.712-715.2865 ◽

2013 ◽

Vol 712-715 ◽

pp. 2865-2869

Author(s):

Li Fang Yang ◽

Fan Yu Meng ◽

Bo Kang

Keyword(s):

Calculation Method ◽

High Speed ◽

Interior Noise ◽

High Speed Train ◽

High Speed Trains ◽

Noise Evaluation ◽

And Control

In order to analyze the noise properties and promote the sound comfort of the high-speed train, the noise samples are collected in passengers cars, dining cars and car joint parts at different speeds. By means of 18 sound samples, the psychoacoustic parameters of the high-speed train are discussed. Before calculation of other psychoacoustic properties, the calculation method of loudness must be properly chosen through analysis of all loudness calculation method. In the paper, the Filter/ISO 532B method is selected to obtain the loudness of the high-speed train and based on the loudness; other psychoacoustic properties are obtained and analyzed. The discussion of psychoacoustic properties is the basis of further noise evaluation and control of high-speed trains.

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A Systematic Approach to Identify Sources of Abnormal Interior Noise for a High-Speed Train

Shock and Vibration ◽

10.1155/2018/5085847 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Jie Zhang ◽

Xinbiao Xiao ◽

Xiaozhen Sheng ◽

Zhihui Li ◽

Xuesong Jin

Keyword(s):

High Speed ◽

Sound Pressure ◽

Systematic Approach ◽

Noise Analysis ◽

Interior Noise ◽

Sound Insulation ◽

High Speed Train ◽

Main Contributor ◽

Vibration Data ◽

High Speed Trains

A systematic approach to identify sources of abnormal interior noise occurring in a high-speed train is presented and applied in this paper to resolve a particular noise issue. This approach is developed based on a number of previous dealings with similar noise problems. The particular noise issue occurs in a Chinese high-speed train. It is measured that there is a difference of 7 dB(A) in overall Sound Pressure Level (SPL) between two nominally identical VIP cabins at 250 km/h. The systematic approach is applied to identify the root cause of the 7 dB(A) difference. Well planned measurements are performed in both the VIP cabins. Sound pressure contributions, either in terms of frequency band or in terms of facing area, are analyzed. Order analysis is also carried out. Based on these analyses, it is found that the problematic frequency is the sleeper passing frequency of the train, and an area on the roof contributes the most. In order to determine what causes that area to be the main contributor without disassembling the structure of the roof, measured noise and vibration data for different train speeds are further analyzed. It is then reasoned that roof is the main contributor caused by sound pressure behind the panel. Up to this point, panels of the roof are removed, revealing that a hole of 300 cm2 for running cables is presented behind the red area without proper sound insulation. This study can provide a basis for abnormal interior noise analysis and control of high-speed trains.

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Multimode Intelligent Control Based on Multidata Fusion Filtering in High-Speed Train Traffic Signal and Control

Journal of Sensors ◽

10.1155/2021/6081999 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Bin Huang ◽

Ying Huang

Keyword(s):

Intelligent Control ◽

High Speed ◽

Pulse Signal ◽

Traffic Signal ◽

Rate Of Change ◽

Operating Efficiency ◽

High Speed Train ◽

Fuzzy Pid Control ◽

High Speed Trains ◽

And Control

As the speed of high-speed trains continues to increase, the intelligent monitoring of high-speed trains has become a concern of people. This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control. In multimodal intelligent control, BangBang, PI control, adaptive fuzzy PID control, and expert monitoring control under special circumstances can be used, respectively, according to the error and the rate of change of the error, which can achieve the best control effect under safe conditions. Take the allowable speed of ATP as the target speed of the control system, and combine the operation process, operation requirements, traction characteristics, braking characteristics of high-speed trains, and meet the two conditions for improving the operating efficiency of high-speed trains. According to the dynamic expected speed value of high-speed trains, dynamically adjust the switching threshold. This study uses a pulse signal generator to simulate the speed data of the vehicle speed sensor (all pulse data), and then read the speed (pulse) signal data through the pulse signal acquisition card, and display the simulated speed data under the Kingview software. The monitoring computer is used to collect train speed information, display speed information, manage speed information, and output speed information. Then, through OPC technology, the simulation speed data is transmitted to MATLAB software for multidata fusion filtering processing and multimodal control simulation. In the simulation process, the train adopts a multimodal intelligent control response scheme, with a total time of 2183.7 s, which is shortened by 214.5 s and improved by nearly 10%. The multimode intelligent control scheme of multidata fusion filtering proposed in this study can better meet the control of high-speed train traffic signals.

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An investigation into high-speed train interior noise with operational transfer path analysis method

Railway Engineering Science ◽

10.1007/s40534-021-00235-0 ◽

2021 ◽

Author(s):

Muxiao Li ◽

Ziwei Zhu ◽

Tiesong Deng ◽

Xiaozhen Sheng

Keyword(s):

Sound Source ◽

Reference Point ◽

Source Identification ◽

High Speed ◽

Interior Noise ◽

Target Point ◽

High Speed Train ◽

Transfer Path ◽

Sound Source Identification ◽

Transfer Path Analysis

AbstractPassengers' demands for riding comfort have been getting higher and higher as the high-speed railway develops. Scientific methods to analyze the interior noise of the high-speed train are needed and the operational transfer path analysis (OTPA) method provides a theoretical basis and guidance for the noise control of the train and overcomes the shortcomings of the traditional method, which has high test efficiency and can be carried out during the working state of the targeted machine. The OTPA model is established from the aspects of "path reference point-target point" and "sound source reference point-target point". As for the mechanism of the noise transmission path, an assumption is made that the direct sound propagation is ignored, and the symmetric sound source and the symmetric path are merged. Using the operational test data and the OTPA method, combined with the results of spherical array sound source identification, the path contribution and sound source contribution of the interior noise are analyzed, respectively, from aspects of the total value and spectrum. The results show that the OTPA conforms to the calculation results of the spherical array sound source identification. At low speed, the contribution of the floor path and the contribution of the bogie sources are dominant. When the speed is greater than 300 km/h, the contribution of the roof path is dominant. Moreover, for the carriage with a pantograph, the lifted pantograph is an obvious source. The noise from the exterior sources of the train transfer into the interior mainly through the form of structural excitation, and the contribution of air excitation is non-significant. Certain analyses of train parts provide guides for the interior noise control.

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Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains

Structural Health Monitoring ◽

10.1177/14759217211036025 ◽

2021 ◽

pp. 147592172110360

Author(s):

Dongming Hou ◽

Hongyuan Qi ◽

Honglin Luo ◽

Cuiping Wang ◽

Jiangtian Yang

Keyword(s):

Acoustic Emission ◽

Fault Diagnosis ◽

High Speed ◽

High Speed Train ◽

Signal Attenuation ◽

Transmission Path ◽

Bearing Fault Diagnosis ◽

Operation Conditions ◽

Fault Features ◽

High Speed Trains

A wheel set bearing is an important supporting component of a high-speed train. Its quality and performance directly determine the overall safety of the train. Therefore, monitoring a wheel set bearing’s conditions for an early fault diagnosis is vital to ensure the safe operation of high-speed trains. However, the collected signals are often contaminated by environmental noise, transmission path, and signal attenuation because of the complexity of high-speed train systems and poor operation conditions, making it difficult to extract the early fault features of the wheel set bearing accurately. Vibration monitoring is most widely used for bearing fault diagnosis, with the acoustic emission (AE) technology emerging as a powerful tool. This article reports a comparison between vibration and AE technology in terms of their applicability for diagnosing naturally degraded wheel set bearings. In addition, a novel fault diagnosis method based on the optimized maximum second-order cyclostationarity blind deconvolution (CYCBD) and chirp Z-transform (CZT) is proposed to diagnose early composite fault defects in a wheel set bearing. The optimization CYCBD is adopted to enhance the fault-induced impact response and eliminate the interference of environmental noise, transmission path, and signal attenuation. CZT is used to improve the frequency resolution and match the fault features accurately under a limited data length condition. Moreover, the efficiency of the proposed method is verified by the simulated bearing signal and the real datasets. The results show that the proposed method is effective in the detection of wheel set bearing faults compared with the minimum entropy deconvolution (MED) and maximum correlated kurtosis deconvolution (MCKD) methods. This research is also the first to compare the effectiveness of applying AE and vibration technologies to diagnose a naturally degraded high-speed train bearing, particularly close to actual line operation conditions.

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A Study on the Energy-Harvesting Device with a Magnetic Spring for Improved Durability in High-Speed Trains

Micromachines ◽

10.3390/mi12070830 ◽

2021 ◽

Vol 12 (7) ◽

pp. 830

Author(s):

Jaehoon Kim

Keyword(s):

Energy Harvesting ◽

High Speed ◽

Permanent Magnets ◽

Critical Issue ◽

Sensor Nodes ◽

High Speed Train ◽

Vibration Energy Harvesting ◽

Magnetic Spring ◽

High Speed Trains ◽

Energy Harvesting Devices

Durability is a critical issue concerning energy-harvesting devices. Despite the energy-harvesting device’s excellent performance, moving components, such as the metal spring, can be damaged during operation. To solve the durability problem of the metal spring in a vibration-energy-harvesting (VEH) device, this study applied a non-contact magnetic spring to a VEH device using the repulsive force of permanent magnets. A laboratory experiment was conducted to determine the potential energy-harvesting power using the magnetic spring VEH device. In addition, the characteristics of the generated power were studied using the magnetic spring VEH device in a high-speed train traveling at 300 km/h. Through the high-speed train experiment, the power generated by both the metal spring VEH device and magnetic spring VEH device was measured, and the performance characteristics required for a power source for wireless sensor nodes in high-speed trains are discussed.

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The Aerodynamic Characteristics of the Pantograph When the Train Passes Through the Tunnel

Volume 1B, Symposia: Fluid Measurement and Instrumentation; Fluid Dynamics of Wind Energy; Renewable and Sustainable Energy Conversion; Energy and Process Engineering; Microfluidics and Nanofluidics; Development and Applications in Computational Fluid Dynamics; DNS/LES and Hybrid RANS/LES Methods ◽

10.1115/fedsm2017-69171 ◽

2017 ◽

Author(s):

Dilong Guo ◽

Wen Liu ◽

Junhao Song ◽

Ye Zhang ◽

Guowei Yang

Keyword(s):

High Speed ◽

Aerodynamic Force ◽

Maximum Amplitude ◽

Aerodynamic Characteristics ◽

High Speed Train ◽

Expansion Waves ◽

Compression And Expansion ◽

High Speed Trains ◽

Current Characteristics ◽

Pass Through

The aerodynamic force acting on the pantograph by the airflow is obviously unsteady and has a certain vibration frequency and amplitude, while the high-speed train passes through the tunnel. In addition to the unsteady behavior in the open-air operation, the compressive and expansion waves in the tunnel will be generated due to the influence of the blocking ratio. The propagation of the compression and expansion waves in the tunnel will affect the pantograph pressure distribution and cause the pantograph stress state to change significantly, which affects the current characteristics of the pantograph. In this paper, the aerodynamic force of the pantograph is studied with the method of the IDDES combined with overset grid technique when high speed train passes through the tunnel. The results show that the aerodynamic force of the pantograph is subjected to violent oscillations when the pantograph passes through the tunnel, especially at the entrance of the tunnel, the exit of the tunnel and the expansion wave passing through the pantograph. The changes of the pantograph aerodynamic force can reach a maximum amplitude of 106%. When high-speed trains pass through tunnels at different speeds, the aerodynamic coefficients of the pantographs are roughly the same.

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