Performance degradation monitoring based on data fusion method for in-service train pneumatic brake system

Zuo, Jianyong; Ding, Jingxian; Hu, Wei; Han, Fei; Zhang, Lihua

doi:10.1177/0954406218778882

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…As shown in Figure 1(b), the pneumatic input of air brake system is brake supply reservoir pressure, that is, P SR , the electric control input is EP current, that is, I EP , and the output is brake cylinder pressure, that is, P BCP . Moreover, P BCP is an important variable to reflect the performance of air brake system, 9 so the performance prognosis of air brake system can be achieved by predicting the time series of P BCP .…”

Section: Black Box Model Of Air Brake Systemmentioning

confidence: 99%

“…Niu and Zhao 8 proposed a fault detection and isolation method for locomotive brake system based on bond graph model. Zuo et al 9 established a performance degradation monitoring model based on data fusion method for pneumatic brake system. Lu et al, 10 Zuo, 11 and Zhou et al 12 proposed data-driven methods to detect and isolate faults of sensors, pneumatic units and brake cylinders, respectively.…”

Section: Introductionmentioning

confidence: 99%

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System-level performance prognosis based on data augmentation for air brake systems of in-service trains

Ding,

Zuo

2023

Advances in Mechanical Engineering

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In order to prognose the performance for air brake systems of in-service trains, a data augmentation method based on correlation analysis and improved multivariate support vector regression was proposed in this paper. By using black box theory and correlation analysis, brake cylinder pressure was extracted as the performance identification signal of air brake system, and the input and output signals were used as the auxiliary signals to construct the black box model of air brake system. Meanwhile, in order to make full use of the obtained data information, a data augmentation prognosis model based on improved multivariate support vector regression was established. Moreover, the optimal parameters of prognosis model were selected by means of particle swarm optimization algorithm, and RMSE and MAE were used as evaluation indicators. Finally, case studies on test-rig performance experiment data of air brake system were conducted. The prognosis model was trained and verified by using the service 1-7N and emergency, service full brake-relief and stage brake-relief experiment data, respectively, and the modeling and calibration error at pressure-holding stage were both in the order of ±5 kPa, which demonstrated the proposed method to be quite accurate and effective.

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Section: Black Box Model Of Air Brake Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

System-level performance prognosis based on data augmentation for air brake systems of in-service trains

Ding,

Zuo

2023

Advances in Mechanical Engineering

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“…The fitting toolbox of the MATLAB software was used for regressing and fitting the experimental data obtained from the monitoring system [16]- [19]. After grouping the leakage locations, the regression equation (where x is the leakage orifice diameter, y is leakage duration, and z is SF 6 concentration) between leakage diameter (mm), leakage duration, and the SF 6 concentrations detected at various sensor points could be obtained.…”

Section: B Construction Of the Prediction Model Of Diffusion Concentmentioning

confidence: 99%

A Method to Construct Early-Warning and Emergency Response System for Sulfur Hexafluoride Leakage in Substations

Liu

Shi

et al. 2020

IEEE Access

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Sulfur hexafluoride (SF 6) gas leakage in populous urban areas, once occurring, can cause death from suffocation if its concentration largely exceeds 1000ppm and oxygen concentration is low than 19 vol-%. Leakage that cannot be detected and responded to with prompt and effective measures can even lead to large death tolls. Presently, few systematic technical approaches to monitoring, early-warning, consequence prediction, and emergency response of SF 6 leakage have been reported. In this paper, a method for constructing the early-warning and emergency response system for SF 6 leakage in substations is proposed. Firstly, the concentration distribution of leaked SF 6 gas at different leakage points within the substation space is analyzed using CFD simulation to determine the coordinates of sensitive areas where the exceeding of the threshold value of SF 6 concentrations is first detected and thus to ascertain sensor monitoring points. By altering leakage locations and leakage orifice diameters within the substation space, the data concerning the coupling relationship between leakage time, leakage orifice diameter, and concentration are obtained, and a prediction model of diffusion concentration of SF 6 leakage in substations is established through regression. Based on the prediction model, an emergency response system for SF 6 leakage in substations is constructed; additionally, in combination with safety management data of substations, the files required for emergency responses to SF 6 leakage can be identified immediately after occurrence, which provide a guidance for on-field personnel to take emergency responses and safety prevention measures. In this paper, a case study of a substation leakage event is presented to describe the method to construct an early-warning and emergency response system for leakage in substations, as well as the application of the method. The results of this research can provide a theoretical basis for early-warning and emergency response to SF 6 leakage, thereby improving the inherent safety levels of substations.

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“…Electropneumatic brakes are widely used on metro trains and high-speed trains because of its advantages over pneumatic brakes,1,2 and its performance directly affects the operation safety and quality of trains. 3 Generally, to obtain the required braking performance (e.g. pressure response time, braking distance), engineers modify the parameters (e.g.…”

Section: Introductionmentioning

confidence: 99%

A virtual prototype for performance analysis of electropneumatic brake on metro trains

Zuo

Ding

Liu

et al. 2014

Advances in Mechanical Engineering

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In order to facilitate system design and performance analysis, a virtual prototype for metro train electropneumatic brakes is proposed. A virtual braking environment that consists of a three-car train model and six electropneumatic brakes model is elaborated. The virtual braking environment can be used to research the relation between braking response and electropneumatic brake’s parameters and to simulate axle loading transfer. By comparing the simulation results with bench test data, the electropneumatic brake model is proven to be quite accurate. Based on the proposed virtual prototype, a test train brake is designed, and a couple of field tests are carried out. The average deceleration of electropneumatic compound service brake at the initial speed of 45 km/h is 0.83 m/s2, the braking distance is 94 m, and that of pure air service brake at the speed of 43 km/h is 0.64 m/s2, the braking distance is 111 m. The field test results satisfy the test train requirements, which further proves the effectiveness of the proposed virtual prototype.

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Performance degradation monitoring based on data fusion method for in-service train pneumatic brake system

Cited by 7 publications

References 14 publications

System-level performance prognosis based on data augmentation for air brake systems of in-service trains

System-level performance prognosis based on data augmentation for air brake systems of in-service trains

A Method to Construct Early-Warning and Emergency Response System for Sulfur Hexafluoride Leakage in Substations

A virtual prototype for performance analysis of electropneumatic brake on metro trains

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