Combining wavelet analysis of track irregularities and vehicle dynamics simulations to assess derailment risks

Costa, Mariana Carvalho da; Costa, João; Andrade, António R.; Ambrósio, Jorge

doi:10.1080/00423114.2022.2039724

Cited by 10 publications

(5 citation statements)

References 34 publications

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“…In order to improve the accuracy of sample data and reduce the deviation of subsequent data analysis caused by noisy data as far as possible, this paper needs to further carry out noise reduction analysis and preprocessing of noisy data. Considering data noise types and data noise reduction methods comprehensively, this paper adopts the wavelet transform method to realize noise reduction processing of sample data on mining truck running state [25].…”

Section: Data Denoising Processing Methods Based On the Wavelet Analy...mentioning

confidence: 99%

Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine

Zhang,

Sun

2023

Applied Sciences

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Trucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Different from the previous evaluation studies of drivers’ driving behavior in open-pit mines, which mainly took safety driving behavior index as a factor variable, this paper puts forward a comprehensive evaluation method of driving behavior of mining truck drivers, which takes both safety driving and transportation cost as factor variables. Taking the mining truck as the research object, firstly, a scientific and reasonable data collection scheme is established, and the data information characterizing the transport state of the mining truck is obtained through data collection and analysis. Secondly, the RKNN algorithm of time series prediction and the wavelet analysis method are used to achieve noise reduction and missing processing of the original data so as to obtain accurate sample data. Then, taking the principal component analysis method as the entry point, through constructing the principal component analysis theory model, the key index system representing safe driving behavior and transportation cost is established to realize the comprehensive evaluation of the driving behavior of mining truck drivers, and the evaluation system of “standard driving”, “prudent driving” and “aggressive driving” of mining truck drivers is formulated. The results show that after noise reduction, the accuracy of mining car operation data can be improved by 7~12%, and the transportation cost can be reduced by about 5% after the driver’s operation behavior is standardized.

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Section: Data Denoising Processing Methods Based On the Wavelet Analy...mentioning

confidence: 99%

Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine

Zhang,

Sun

2023

Applied Sciences

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“…Translate and scale the mother wavelet function to obtain the wavelet function. Wavelet analysis is the process of decomposing a signal into a series of linear superposition of wavelet functions, which can effectively fit non-stationary datasets 10 . Wavelet transform involves first translating the mother wavelet function and then performing inner product operations with the signal at different scales.…”

Section: Wavelet Analysismentioning

confidence: 99%

“…Then, h is substituted into the Morlet wavelet function as an independent variable, and the output value hout(j) of the hidden layer is calculated according to formula (9). Then, according to formula (10), the hidden layer output value hout(j) is input to the output layer and the predicted value yi is calculated.…”

Section: Wavelet Neural Networkmentioning

confidence: 99%

Evaluation and decision of task aircraft usage quality based on wavelet neural network

Li,

Gao,

Wang

et al. 2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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The quality status of aircraft use involves multiple indicators, and has nonlinear correlations. The commonly used traditional evaluation methods often rely heavily on expert knowledge and cannot depict the nonlinear relationship of indicators, making it difficult to accurately and effectively support mission aircraft usage decisions. This article constructs one mission aircraft usage quality status indicator system that includes annual usage plan execution rate, matching degree of aircraft lifespan usage, variability of the remaining lifespan echelon difference, rate of satisfaction with aviation materials supply, and aircraft failure free rate. Wavelet Neural Network and BP Neural Network models are respectively used to predict and evaluate the quality status. Case validation shows that Wavelet Neural Network have faster data learning speed and higher prediction accuracy compared to BP Neural Network, which are basically consistent with actual results and can provide more accurate quantitative basis for mission aircraft usage decisionmaking.

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“…Nico Burgelman et al [22] put forward a method to quickly estimate the derailment risk of braking trains in bends and turnouts by quantifying the lateral force between wheels and rails. Costa Mariana A et al [23] combined wavelet analysis with vehicle dynamics simulations to evaluate how track irregularities, filtered in various wavelength ranges and reconstructed with different wavelets and coefficient amplitudes, impact vehicle safety in terms of the Nadal safety criterion Y/Q. KAMOSHITA Shogo et al [24] developed a bogie for reducing the risk of derailment.…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Damage of Crash Barrier under Impact Load of High-Speed Train

Qian,

Wang,

et al. 2024

Sustainability

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The derailment of a high-speed train in a tunnel will cause a very serious accident, but there are few research articles on anti-collision facilities in tunnels. In order to promote the sustainable development of high-speed trains and reduce the severity of accidents caused by derailment in tunnels of high-speed trains, this paper puts forward a crash barrier scheme in tunnels through the method of numerical simulation; the coupling finite element model of train–crash barrier–tunnel is established by using ABAQUS. The changes in lateral velocity and lateral displacement after the train hits the crash barrier without embedding steel bars are explored. We also explore the influence of different reinforcement amounts on the changes in the lateral speed and lateral displacement of trains under the condition of embedding steel bars. The results show that with the increase in stirrups and vertical reinforcement, the anti-impact and sustainable operation capability of the crash barrier are greater. It can also be seen from the lateral displacement of the train that the train shows the reverse movement trend, and the crash barrier plays a good role in intercepting the train. These research results can provide a reference for the sustainable development of transportation infrastructure construction.

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Combining wavelet analysis of track irregularities and vehicle dynamics simulations to assess derailment risks

Cited by 10 publications

References 34 publications

Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine

Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine

Evaluation and decision of task aircraft usage quality based on wavelet neural network

Study on Dynamic Damage of Crash Barrier under Impact Load of High-Speed Train

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