Wayside wheel-rail vertical contact force continuous detecting method and its application

Peng, Xinyu; Zeng, Jing; Wang, Jianbin; Wang, Qunsheng; Li, Dadi; Liang, Songkang

doi:10.1016/j.measurement.2022.110975

Cited by 15 publications

(4 citation statements)

References 14 publications

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“…The most commonly used wheel flat detection method is the stress-based method. In this method, the dynamic stress of the track when the train passes can be measured by different stress sensors such as strain gauges, accelerometers, and fiber Bragg gratings (FBG) [51][52][53][54][55][56][57][58][59][60][61][62][63][64][65].…”

Section: Stress-based Wheel Flat Signal Acquisition Methodsmentioning

confidence: 99%

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Feng

et al. 2023

Sensors

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Wheel flats are amongst the most common local surface defect in railway wheels, which can result in repetitive high wheel–rail contact forces and thus lead to rapid deterioration and possible failure of wheels and rails if not detected at an early stage. The timely and accurate detection of wheel flats is of great significance to ensure the safety of train operation and reduce maintenance costs. In recent years, with the increase of train speed and load capacity, wheel flat detection is facing greater challenges. This paper focuses on the review of wheel flat detection techniques and flat signal processing methods based on wayside deployment in recent years. Commonly used wheel flat detection methods, including sound-based methods, image-based methods, and stress-based methods are introduced and summarized. The advantages and disadvantages of these methods are discussed and concluded. In addition, the flat signal processing methods corresponding to different wheel flat detection techniques are also summarized and discussed. According to the review, we believe that the development direction of the wheel flat detection system is gradually moving towards device simplification, multi-sensor fusion, high algorithm accuracy, and operational intelligence. With continuous development of machine learning algorithms and constant perfection of railway databases, wheel flat detection based on machine learning algorithms will be the development trend in the future.

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Section: Stress-based Wheel Flat Signal Acquisition Methodsmentioning

confidence: 99%

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Feng

et al. 2023

Sensors

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“…Wu et al 11 built an electromechanical model of a high-speed train transmission system to study the possibilities of using motor current signals instead of vibration signals to identify the wheel flat, wheel OOR and hunting motion. Peng et al 12 developed a wayside calibration device using the continuous wheel-rail force detection method to detect the wheel OOR and wheel offload. The reliability of the device has been verified in an indoor laboratory.…”

Section: Introductionmentioning

confidence: 99%

Fatigue stress estimation of metro bogie frame through frequency response functions by using limited sensors

Sun

Lai

et al. 2023

Structural Health Monitoring

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In this paper, the fatigue state estimation of the metro bogie frame is discussed based on limited sensors through frequency domain methods. The middle-frequency and high-frequency vibration fatigue damage cases of one metro bogie frame is discussed. The main excitations come from the wheel/rail interactions including wheel out-of-roundness and rail irregularities. The most common modal vibration of the bogie frame, where the transom bending deformation is dominant, is taken as the research object to study the possibilities of fatigue failure monitoring on concerned points of the bogie frame transom focusing on specific transfer paths. To eliminate unnecessary input signals which are not closely related to the occurrence of large stress amplitudes, the coherence analysis of different loads including the transmission load, carbody load and wheel-rail impact load is conducted through various methods including the short-time Fourier transform spectrum analysis, the magnitude-squared coherence analysis and the partial directed coherence analysis. Then the power spectral densities (PSDs) of the measured accelerations and cross power spectral densities (CPSDs) are calculated to obtain the transfer functions, whose output is the Y-axis stress at the concerned point. The stress PSDs are obtained using the instantly measured input accelerations and the prepared transfer function. Then the spectral moments and the stress amplitudes distribution functions are calculated through the frequency domain method to overcome the computational burden. The stress reconstructions based on inverse fast Fourier transform are analyzed and the fatigue damage results show good consistency with the experimental ones.

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“…These sensors do not require significant modification to track components during the installation process. Over the past few decades, research on strain-gauge-based systems for track response monitoring has been noticeable ( 1 – 33 ). Although the use of strain-gauge-based systems for train-induced wheel-load measurement is relatively common, only a few studies have recently reported the use of these systems for rail–tie interaction force measurement ( 2, 5, 7, 9, 13, 14, 26, 27, 29–33 ).…”

Section: Introductionmentioning

confidence: 99%

“…Finally, no consistent standard/guideline is available governing the installation/calibration of these strain-gauge-based systems. Based on an extensive review of published literature, calibration fixtures used for these systems can be broadly divided into three categories: (1) rectangular fixtures ( 34 ), (2) triangular fixtures ( 2, 7, 13, 23, 26, 28–33, 35 ), (3) direct applications of load against a car-body ( 6 , 15 ). This raises the additional question whether or not the calibration results are affected by the type of calibration fixture used.…”

Section: Introductionmentioning

confidence: 99%

Response of Strain-Gauge-Based Tie Reaction Measurement Circuits under Dynamic Loading and Variable Support Conditions

Rabbi,

Alturk,

Bruzek

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Strain gauges are often used to measure vertical wheel loads in a railroad track. This approach is based on the concept of differential-shear-strain (DSS) measurement: The difference in vertical shear force between two points along a beam equals the magnitude of the resultant of applied vertical forces in between. With a slight modification to the strain-gauge positions and installation of an additional set of strain gauges, this concept can be extended to measure the vertical rail–tie interface reaction forces, thus assessing the tie support conditions. Although the application of DSS measurements for vertical-wheel-load quantification is widely prevalent in the railroad community, the validity of this approach for tie reaction measurement has been relatively unexplored. Conceptually, the approach is similar to the vertical-wheel-load measurement system, with the only difference being the placement of the strain gauges along the rail. Nevertheless, several questions have been raised about how different track and loading configurations can affect the accuracy of such a measurement system. To address some of these concerns and establish this approach as a viable method for tie support condition assessment, a field-validation effort was undertaken. Under the scope of this research effort, the strain-gauge-based DSS measurement system for rail–tie interface reaction-force measurement was evaluated in the field under static as well as dynamic loading. The study showed that the strain-gauge-based measurement approach is as accurate as other conventional methods of tie reaction-force measurement.

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Wayside wheel-rail vertical contact force continuous detecting method and its application

Cited by 15 publications

References 14 publications

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Fatigue stress estimation of metro bogie frame through frequency response functions by using limited sensors

Response of Strain-Gauge-Based Tie Reaction Measurement Circuits under Dynamic Loading and Variable Support Conditions

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