Artificial neural networks applied to the measurement of lateral wheel-rail contact force: A comparison with a harmonic cancellation method

Urda, Pedro; Aceituno, Javier F.; Muñoz, Sergio; Escalona, José L.

doi:10.1016/j.mechmachtheory.2020.103968

Cited by 34 publications

(19 citation statements)

References 27 publications

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“…According to the structure feature and non-stationary operating conditions of the real pulley group, there are the following factors: (1) The most vulnerable position where the pulley block is most likely to be damaged by force during operation are factors to be considered. (2) The nearest points in the parallel and orthogonal directions of the pulley shaft, i.e., the position and direction of the pulley block under the maximum rope force during operation are factors to be considered. Therefore, M sensors are arranged to the initial locations.…”

Section: Initial Sensor Placementmentioning

confidence: 99%

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Optimal Placement of Sensors Based on Data Fusion for Condition Monitoring of Pulley Group under Speed Variation Condition

et al. 2022

Machines

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Pulley group plays an important role in the transmission of large mechanical equipment. To obtain informative data for condition monitoring, it is very important to optimize sensor placement on the pulley group. However, due to sharp speed fluctuation, heavy load and complex internal structure, sensor placement for acquiring optimal monitoring points is still a challenging task. Therefore, a novel sensor optimization method based on data fusion is proposed. In this method, the Kalman filter is firstly used to refine the collected signal for dealing with the variable noises. Subsequently, the variable periodicity strength of the signal is calculated to recognize the non-stationary characteristics of the measured signal. A data fusion technique based on maximum likelihood estimation (MLE) is then introduced to estimate sensitive components from the multi-source sensor signals for finding out optimal sensor placement points. The method is validated experimentally on a test rig of the pulley group with variable speed conditions. Analysis results show that the proposed method can recognize the optimal sensor placement points for the pulley group.

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Section: Initial Sensor Placementmentioning

confidence: 99%

“…The pulley group is the key structural component for transferring force and displacement in large mechanical equipment [1][2][3]. It can adjust the torque and motion with efficiency according to the specific need of users.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Sensors Based on Data Fusion for Condition Monitoring of Pulley Group under Speed Variation Condition

et al. 2022

Machines

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“…The vertical components result, among other things, from the axle load, whereas the lateral components arise from the flanging of wheel against the outer rail on curves and the centrifugal force [30]. Measuring these forces poses a serious challenge for researchers [23,30].…”

Section: The Wear Modelmentioning

confidence: 99%

Assessment of durability and reliability of ET41 series locomotive wheels based on laboratory tests

Witaszek¹

2020

Diagnostyka

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“…Apart from railroad lines, it is also important to consider the impact of extreme weather conditions on overhead-line infrastructure, as explained in the papers [25][26][27][28]. In addition to infrastructure, special attention should also be paid to railroad safety related to the quality of traction of train wheels on the tracks [29,30].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Selection of the Railroad Route between Rijeka and Zagreb

2022

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One of the biggest issues in railroad planning and design is determining the optimal railroad route. After the railroad route variants are determined, the major challenge is to identify and select the criteria which will be used for the analysis and evaluation of the variants. This paper is primarily concerned with the evaluation and selection of an optimal railroad route between Rijeka and Zagreb as part of the Mediterranean Corridor. The large number of criteria used to analyze solutions makes this decision-making complex. The objectives are usually in conflict with each other, and there are usually several groups of decision makers involved in the process. The aim of this paper was to analyze alternative railroad route variants using the optimization method of multi-criteria analysis. To achieve the research aim, a model comprising the defined criteria and sub-criteria including their weighting coefficients was set. To perform the analysis, the authors applied the defined model for evaluation and selection of a railway route between Rijeka and Zagreb using the PROMETHEE II method for multi-criteria ranking of alternatives and the computer software “Visual PROMETHEE”. The value of the defined model is expressed by the presented methodology of multi-criteria optimization, which is used in railroad planning and designing.

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Artificial neural networks applied to the measurement of lateral wheel-rail contact force: A comparison with a harmonic cancellation method

Cited by 34 publications

References 27 publications

Optimal Placement of Sensors Based on Data Fusion for Condition Monitoring of Pulley Group under Speed Variation Condition

Optimal Placement of Sensors Based on Data Fusion for Condition Monitoring of Pulley Group under Speed Variation Condition

Assessment of durability and reliability of ET41 series locomotive wheels based on laboratory tests

Evaluation and Selection of the Railroad Route between Rijeka and Zagreb

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