Locomotive Track Research Articles

Dynamic responses of locomotive axle box bearings under varying operating conditions

Axle box bearings (ABBs) are a vital component of a railway locomotive, ensuring their reliable performance requires an in-depth understanding of their dynamic behaviour. This work theoretically derives a locomotive–track longitudinal–vertical coupled dynamics model that takes detailed dynamics of the ABBs into account. The model considers a number of complex interactions, such as non-linear contact and friction forces within the ABB, wheel–rail interactions, and track irregularities. The motions of ABB are coupled with the wheelset and bogie frame, allowing detailed investigation of the ABB dynamic behaviour during operation. The correctness of the proposed model is verified in both the time and frequency domains by comparing with field test. The dynamic characteristics of ABBs under varying operating conditions were comprehensively investigated. The results demonstrate that track irregularities have a non-negligible influence on the dynamic forces of the locomotive ABB. Furthermore, the axle load transfer occurs during loading conditions, which leads to significant differences in vertical and longitudinal dynamic interactions within the ABBs across wheelsets. It is clear that the operating conditions of the locomotive should be suitably considered in the dynamic assessment, operation, and maintenance of ABBs.

Comparative analysis of tardigrade locomotion across life stage, species, and disulfiram treatment.

Animal locomotion requires coordination between the central and peripheral nervous systems, between sensory inputs and motor outputs, and between nerves and muscles. Analysis of locomotion thus provides a comprehensive and sensitive readout of nervous system function and dysfunction. Tardigrades, the smallest known walking animals, coordinate movement of their eight legs with a relatively simple nervous system, and are a promising model for neuronal control of limb-driven locomotion. Here, we developed open-source tools for automated tracking of tardigrade locomotion in an unconstrained two-dimensional environment, for measuring multiple parameters of individual leg movements, and for quantifying interleg coordination. We used these tools to analyze >13,000 complete strides in >100 tardigrades, and identified preferred walking speeds and distinct step coordination patterns associated with those speeds. In addition, the rear legs of tardigrades, although they have distinct anatomy and step kinematics, were nonetheless incorporated into overall patterns of interleg coordination. Finally, comparisons of tardigrade locomotion across lifespan, between species, and upon disulfiram treatment suggested that neuronal regulation of high-level aspects of walking (e.g. speed, turns, walking bout initiation) operate independently from circuits controlling individual leg movements and interleg coordination.

Glial expression of Drosophila UBE3A causes spontaneous seizures that can be modulated by 5-HT signaling

Misexpression of the E3 ubiquitin ligase gene UBE3A is thought to contribute to a range of neurological disorders. In the context of Dup15q syndrome, additional genomic copies of UBE3A give rise to the autism, muscle hypotonia and spontaneous seizures characteristics of the disorder. In a Drosophila model of Dup 15q syndrome, it was recently shown that glial-driven expression of the UBE3A ortholog dube3a led to a “bang-sensitive” phenotype, where mechanical shock triggers convulsions, suggesting glial dube3a expression contributes to hyperexcitability in flies. Here we directly compare the consequences of glial- and neuronal-driven dube3a expression on motor coordination and seizure susceptibility in Drosophila.To quantify seizure-related behavioral events, we developed and trained a hidden Markov model that identified these events based on automated video tracking of fly locomotion. Both glial and neuronal driven dube3a expression led to clear motor phenotypes. However, only glial-driven dube3a expression displayed spontaneous seizure-associated immobilization events, that were clearly observed at high-temperature (38 °C). Using a tethered fly preparation amenable to electrophysiological monitoring of seizure activity, we found glial-driven dube3a flies display aberrant spontaneous spike discharges which are bilaterally synchronized. Neither neuronal-dube3a overexpressing flies, nor control flies displayed these firing patterns. We previously performed a drug screen for FDA approved compounds that can suppress bang-sensitivity in glial-driven dube3a expressing flies and identified certain 5-HT modulators as strong seizure suppressors. Here we found glial-driven dube3a flies fed the serotonin reuptake inhibitor vortioxetine and the 5-HT2A antagonist ketanserin displayed reduced immobilization and spike bursting, consistent with the previous study. Together these findings highlight the potential for glial pathophysiology to drive Dup15q syndrome-related seizure activity.

Toxicity evaluation of neonicotinoids to earthworm (Eisenia fetida) behaviors by a novel locomotion tracking assay

Pesticides are substances used for controlling, preventing, and repelling pests in agriculture. Among them, neonicotinoids have become the fastest-growing class of insecticides because of their efficiency in targeting pests. They work by strongly binding to nicotinic acetylcholine receptors (nAChRs) in the central nervous system of insects, leading to receptor blockage, paralysis, and death. Despite their selectivity for insects, these substances may be hazardous to non-target creatures, including earthworms. Although earthworms may be invasive in some regions like north America, they contribute to the development of soil structure, water management, nutrient cycling, pollution remediation, and cultural services, positively impacting the environment, particularly in the soil ecosystem. Thus, this study aimed to develop a novel earthworm behavior assay since behavior is a sensitive marker for toxicity assay, and demonstrated its application in evaluating the toxicity of various neonicotinoids. Here, we exposed Eisenia fetida to 1 and 10 ppb of eight neonicotinoids (acetamiprid, clothianidin, dinotefuran, imidacloprid, nitenpyram pestanal, thiacloprid, thiametoxam, and sulfoxaflor) for 3 days to observe their behavior toxicities. Overall, all of the neonicotinoids decreased their locomotion, showed by a reduction of average speed by 24.94–68.63% and increment in freezing time movement ratio by 1.51–4.25 times, and altered their movement orientation and complexity, indicated by the decrement in the fractal dimension value by 24–70%. Moreover, some of the neonicotinoids, which were acetamiprid, dinotefuran, imidacloprid, nitenpyram, and sulfoxaflor, could even alter their exploratory behaviors, which was shown by the increment in the time spent in the center area value by 6.94–12.99 times. Furthermore, based on the PCA and heatmap clustering results, thiametoxam was found as the neonicotinoid that possessed the least pronounced behavior toxicity effects among the tested pesticides since these neonicotinoid-treated groups in both concentrations were grouped in the same major cluster with the control group. Finally, molecular docking was also conducted to examine neonicotinoids' possible binding mechanism to Acetylcholine Binding Protein (AChBP), which is responsible for neurotransmission. The molecular docking result confirmed that each of the neonicotinoids has a relatively high binding energy with AChBP, with the lowest binding energy was possessed by thiametoxam, which consistent with its relatively low behavior toxicities. Thus, these molecular docking results might hint at the possible mechanism behind the observed behavior alterations. To sum up, the present study demonstrated that all of the neonicotinoids altered the earthworm behaviors which might be due to their ability to bind with some specific neurotransmitters and the current findings give insights into the toxicities of neonicotinoids to the environment, especially animals in a soil ecosystem.

Microdosing ketamine in Drosophila does not block serotonin reuptake, but causes complex behavioral changes mediated by glutamate and serotonin receptors.

Microdosing ketamine is a novel antidepressant for treatment-resistant depression. Traditional antidepressants, like selective serotonin reuptake inhibitors (SSRIs), inhibit serotonin reuptake, but it is not clear if ketamine shows a similar mechanism. Here, we tested the effects of feeding ketamine and SSRIs to Drosophila melanogaster larvae, which has a similar serotonin system to mammals and is a good model to track depressive behaviors, such as locomotion and feeding. Fast-scan cyclic voltammetry (FSCV) was used to measure optogenetically stimulated serotonin changes, and locomotion tracking software and blue dye feeding to monitor behavior. We fed larvae various doses (1-100 mM) of antidepressants for 24 h and found that 1 mM ketamine did not affect serotonin, but increased locomotion and feeding. Low doses (≤10 mM) of escitalopram and fluoxetine inhibited dSERT and also increased feeding and locomotion behaviors. At 100 mM, ketamine inhibited dSERT and increased serotonin concentrations, but decreased locomotion and feeding because of its anesthetic properties. Since microdosing ketamine causes behavioral effects, we further investigated behavioral changes with a SERT16 mutant and low doses of other NMDA receptor antagonists and 5-HT1A and 2 agonists. Feeding and locomotion changes were similar to ketamine in the mutant, and we found NMDA receptor antagonism increased feeding, while serotonin receptor agonism increased locomotion, which could explain these effects with ketamine. Ultimately, this work shows that Drosophila is a good model to discern antidepressant mechanisms, and that ketamine does not work on dSERT like SSRIs, but effects behavior with other mechanisms that should be investigated further.

Active Human-Following Control of an Exoskeleton Robot With Body Weight Support.

This article presents an active human-following control of the lower limb exoskeleton for gait training. First, to improve safety, considering the human balance, the OpenPose-based visual feedback is used to estimate the individual's pose, then, the active human-following algorithm is proposed for the exoskeleton robot to achieve the body weight support and active human-following. Second, taking the human's intention and voluntary efforts into account, we develop a long short-term memory (LSTM) network to extract surface electromyography (sEMG) to build the estimation model of joints' angles, that is, the multichannel sEMG signals can be correlated with flexion/extension (FE) joints' angles of the human lower limb. Finally, to make the robot motion adapt to the locomotion of subjects under uncertain nonlinear dynamics, an adaptive control strategy is designed to drive the exoskeleton robot to track the desired locomotion trajectories stably. To verify the effectiveness of the proposed control framework, several recruited subjects participated in the experiments. Experimental results show that the proposed joints' angles estimation model based on the LSTM network has a higher estimation accuracy and predicted performance compared with the existing deep neural network, and good simultaneous locomotion tracking performance is achieved by the designed control strategy, which indicates that the proposed control can assist subjects to perform gait training effectively.

Effect of VR on Video Games Story Telling

Now days, more and more virtual reality games appear on market, many of them present with strong storytelling elements. The narrative type of video games in the story development, character shaping, let the audience resonate. However, the articles about story telling in virtual reality games is not enough. This article has concluded about what is storytelling and what makes it effective to players experience; emergent storytelling, immersion and environmental storytelling has been took out and discussed in detail, Paper also discussed about what virtual reality have changed video games and how these changes affect storytelling in video games. Main feature of virtual reality like Interactivity and locomotion tracking been discussed. Different storytelling had been evaluated under virtual reality background. Especially, at the end of the article, this paper summarizes the full text and prospects the related content.

Evaluation of Locomotion Complexity in Zebrafish after Exposure to Twenty Antibiotics by Fractal Dimension and Entropy Analysis.

Antibiotics are extensively used in aquaculture to prevent bacterial infection and the spread of diseases. Some antibiotics have a relatively longer half-life in water and may induce some adverse effects on the targeted fish species. This study analyzed the potential adverse effects of antibiotics in zebrafish at the behavioral level by a phenomic approach. We conducted three-dimensional (3D) locomotion tracking for adult zebrafish after acute exposure to twenty different antibiotics at a concentration of 100 ppb for 10 days. Their locomotor complexity was analyzed and compared by fractal dimension and permutation entropy analysis. The dimensionality reduction method was performed by combining the data gathered from behavioral endpoints alteration. Principal component and hierarchical analysis conclude that three antibiotics: amoxicillin, trimethoprim, and tylosin, displayed unique characteristics. The effects of these three antibiotics at lower concentrations (1 and 10 ppb) were observed in a follow-up study. Based on the results, these antibiotics can trigger several behavioral alterations in adult zebrafish, even in low doses. Significant changes in locomotor behavioral activity, such as total distance activity, average speed, rapid movement time, angular velocity, time in top/bottom duration, and meandering movement are highly related to neurological motor impairments, anxiety levels, and stress responses were observed. This study provides evidence based on an in vivo experiment to support the idea that the usage of some antibiotics should be carefully addressed since they can induce a significant effect of behavioral alterations in fish.

Establishing a High-Throughput Locomotion Tracking Method for Multiple Biological Assessments in Tetrahymena.

Protozoa are eukaryotic, unicellular microorganisms that have an important ecological role, are easy to handle, and grow rapidly, which makes them suitable for ecotoxicity assessment. Previous methods for locomotion tracking in protozoa are largely based on software with the drawback of high cost and/or low operation throughput. This study aimed to develop an automated pipeline to measure the locomotion activity of the ciliated protozoan Tetrahymena thermophila using a machine learning-based software, TRex, to conduct tracking. Behavioral endpoints, including the total distance, velocity, burst movement, angular velocity, meandering, and rotation movement, were derived from the coordinates of individual cells. To validate the utility, we measured the locomotor activity in either the knockout mutant of the dynein subunit DYH7 or under starvation. Significant reduction of locomotion and alteration of behavior was detected in either the dynein mutant or in the starvation condition. We also analyzed how Tetrahymena locomotion was affected by the exposure to copper sulfate and showed that our method indeed can be used to conduct a toxicity assessment in a high-throughput manner. Finally, we performed a principal component analysis and hierarchy clustering to demonstrate that our analysis could potentially differentiate altered behaviors affected by different factors. Taken together, this study offers a robust methodology for Tetrahymena locomotion tracking in a high-throughput manner for the first time.

The Inhibitory Effect of Wood Creosote on the Movement of Anisakis Larvae: An Implication for the Treatment of Acute Anisakiasis

Introduction: Anisakiasis is a common disease in countries such as Japan, where raw or undercooked marine fish are frequently consumed. The disease is caused by accidental ingestion of a live larva of Anisakis in raw or undercooked marine fish. In typical cases, it causes abrupt gastrointestinal symptoms, such as epigastric pain, nausea, and vomiting. According to a published report, the disease was alleviated by oral ingestion of an over-the-counter drug containing wood creosote. Methods: We performed an in vitro experiment to elucidate whether wood creosote can inhibit the motor activity of Anisakis larvae, using infrared locomotion tracking and agarose gel penetration techniques. Results: Our results clearly demonstrate that wood creosote inhibits the motor activity of Anisakis larvae. The concentration of wood creosote used in our experiment is similar to that found in stomach juice when a usual oral dose is taken of the medicine containing wood creosote. Discussion/Conclusion: Our results suggest the potential usefulness of the medicine containing wood creosote in the treatment of acute Anisakis infection of the gastrointestinal tract.

Locomotor compromises maintain group cohesion in baboon troops on the move.

When members of a group differ in locomotor capacity, coordinating collective movement poses a challenge: some individuals may have to move faster (or slower) than their preferred speed to remain together. Such compromises have energetic repercussions, yet research in collective behaviour has largely neglected locomotor consensus costs. Here, we integrate high-resolution tracking of wild baboon locomotion and movement with simulations to demonstrate that size-based variation in locomotor capacity poses an obstacle to the collective movement. While all baboons modulate their gait and move-pause dynamics during collective movement, the costs of maintaining cohesion are disproportionately borne by smaller group members. Although consensus costs are not distributed equally, all group-mates do make locomotor compromises, suggesting a shared decision-making process drives the pace of collective movement in this highly despotic species. These results highlight the importance of considering how social dynamics and locomotor capacity interact to shape the movement ecology of group-living species.

Effects of wheelset flexibility on locomotive–track interaction due to rail weld irregularities

Irregularities of rail joints ordinarily induce high-frequency impacts on wheel–rail contact systems, which may further influence vehicle–track interaction. In this study, a three-dimensional locomotive-track coupled dynamics model that uses the wheelset flexibility was developed. The wheelset rigid motion and elastic deformation are calculated based on the multi-body dynamics theory and finite element method, respectively. The effectiveness of this model was validated. The effect of wheelset flexibility on locomotive–track interaction due to rail weld irregularities is analysed by comparing the dynamic responses obtained using the rigid model and the proposed rigid–flexible coupled model. The proposed model is applied to the sensitivity analysis of the wheelset response to the rail weld geometry irregularity. The results show that the dominant frequency of the wheel–rail force or axle–box acceleration is 81 Hz, which is the 1st bending modal frequency of the wheelset. The P2 resonance frequency is easily excited owing to impacts of rail weld irregularities, which may induce the formation of locomotive wheel polygonization. The wheelset acceleration was more sensitive to the wavelength than the depth of the rail weld irregularities. The wavelength characteristics can be significant in vehicle vibration-based condition monitoring of rail weld irregularities.

Monitoring musculoskeletal health in zebrafish using machine learning-based locomotion tracking

Monitoring musculoskeletal health in zebrafish using machine learning-based locomotion tracking

Relationship between Range Use and Fearfulness in Free-Range Hens from Different Rearing Enrichments.

Simple SummaryIn Australia, free-range pullets are reared inside, but the adult hens can go outside. This discrepancy between environments might increase the fearful behaviour of adult free-range hens. Enriching the indoor rearing environments might help reduce this fearfulness. Adult hen fearfulness might also be linked with individual variation in range use. In this study, across 16 weeks of indoor rearing, different types of enrichments were provided to 1700 pullets: weekly changing novel objects, custom-designed perching/navigation structures, or no additional enrichments. Adult hens’ range use was tracked via radio-frequency identification (RFID) systems. A sample of hens (n = 135) across all rearing enrichment groups that ranged daily or did not range at all were selected, and several behavioural tests were performed at 62 weeks of age. Overall, the rearing treatments had few effects on the fearfulness behaviour of hens late in the production cycle, and the outdoor rangers were less fearful. Hens that showed higher fear also had poorer feather coverage. Enrichments during rearing showed limited fearfulness reduction for adult free-range hens, and individual variations in range use might be an indicator of bird fearfulness.Inconsistency between the environments of indoor pullet rearing and adult outdoor housing may increase the fearfulness in free-range hens. Rearing enrichments and/or range use may reduce adult fearfulness. Hy-Line Brown® chicks (n = 1700) were reared inside across 16 weeks with three enrichment treatments: weekly changing novel objects, custom-designed perching/navigation structures, or no additional enrichments. Pullets were transferred to a free-range system at 16 weeks of age, with range access provided from 25 weeks. At 62 weeks, 135 hens were selected from the three rearing treatments and two ranging groups (indoor: no ranging and outdoor: daily ranging) based on individual radio-frequency identification tracking. Individual behavioural tests of tonic immobility, emergence, open field, and novel object (pen level) were carried out on hens. Spectrograms of vocalisations were analysed for the open field test, as well as computer vision tracking of hen locomotion. The results showed few effects of rearing treatments, with outdoor rangers less fearful than indoor hens. The latency to step in the open field test negatively correlated with hen feather coverage. These results show that individual variation in ranging behaviours is present even following rearing enrichment treatments, and subsequent range use might be an indicator of bird fearfulness.

Role of hippocampal dopamine receptors in the antinociceptive responses induced by chemical stimulation of the lateral hypothalamus in animal model of acute pain

Dopamine is the predominant catecholamine neurotransmitter in the mammalian brain which has been shown to play a critical role in antinociceptive process. Previous studies have shown that the role of CA1 region of the hippocampus in antinociception induced by stimulation of the lateral hypothalamus (LH) through the dopaminergic system in tonic pain. In this study, we tried to assess the involvement of intra-hippocampal D1- and D2-like dopamine receptors in the LH stimulation-induced antinociception during the tail-flick test as an animal model of acute pain. Ninety-five male Wistar rats were unilaterally implanted with two separate cannulae into the LH and CA1. Animals received intra-CA1 infusion of SCH-23390 (0.25, 1 and 4 µg/rat), as a D1-like dopamine receptor antagonist and sulpiride (0.125, 0.25, 1 and 4 µg/rat), as a D2-like dopamine receptor antagonist, 2 min before intra-LH administration of carbachol (250 nM/rat). The antinociceptive effects of SCH-23390 and sulpiride were measured by using a tail-flick analgesiometer and represented as the maximal possible effect (%MPE). Also, the locomotion tracking apparatus was used to measure the locomotor activity of animals. Results showed that intra-CA1 administration of SCH-23390 or sulpiride could prevent the intra-LH carbachol-induced antinociception. This effect was a little more dominant after blocking the D2-like dopamine receptor in the CA1. These findings revealed that D1- and D2-like dopamine receptors within the CA1 play an important role in antinociceptive responses induced by chemical stimulation of the LH. It could be suggested that dopamine receptors in the CA1 were triggered by LH orexinergic projections.

An inexpensive programmable optogenetic platform for controlled neuronal activation regimens in C. elegans.

In Caenorhabditis elegans, optogenetic stimulation has been widely used to assess neuronal function, control animal movement, or assay circuit responses to controlled stimuli. Most studies are performed on single animals and require high-end components such as lasers and shutters. We present an accessible platform that enables controlled optogenetic stimulation of C. elegans in two modes: single animal stimulation with locomotion tracking and entire population stimulation for neuronal exercise regimens. The system consists of accessible electronic components: a high-power light-emitting diode, Arduino board, and relay are integrated with MATLAB to enable programmable optogenetic stimulation regimens. This system provides flexibility in optogenetic stimulation in freely moving animals while providing quantitative information of optogenetic-driven locomotion responses. We show the applicability of this platform in single animals by stimulation of cholinergic motor neurons in C. elegans and quantitative assessment of contractile responses. In addition, we tested synaptic plasticity by coupling the entire-population stimulation mode with measurements of synaptic strength using an aldicarb assay, where clear changes in synaptic strength were observed after regimens of neuronal exercise. This platform is composed of inexpensive components, while providing the illumination strength of high-end systems, which require expensive lasers, shutters, or automated stages. This platform requires no moving parts but provides flexibility in stimulation regimens.

Model-based design of a multistable origami-enabled crawling robot

Origami and kirigami are becoming increasingly more prevalent in robotic systems due to their elegant manufacturability and pseudo-compliant behavior. However, origami-enabled robotic systems are currently designed in an inefficient ad hoc manner due to the complexity of synergistically incorporating compliant origami structures into a system level model. This paper develops a system level dynamic model for the locomotion of an origami-enabled crawling robot. An energy analysis of the primary mechanical components of the robot yields a one-dimensional (1D) equation of motion (EOM) for the robot. The EOM is extended to two dimensions (2D) using a geometric analysis of the origami structures and the constraints imposed by the robotic system. The 2D model is able to represent the robot’s forward and directional locomotion. The results of the dynamic model are compared to a kinematics-based model and experimental results. The 2D dynamic model performs similar to the kinematic model of the robot for small forward expansions, but the dynamic model demonstrates superior tracking of the robot locomotion for larger expansions as the system losses increase. The maximum error reported between the dynamic model and experimental results is 10% compared to the 40% error reported for the kinematic model. The paper concludes with a demonstration of how the dynamic model can be used to select the robot design parameters. This paper presents a much-needed framework for the design of origami-enabled robots that can also lead to advances in the control of compliant and pseudo-compliant robots.

Friction measurement and creep force modelling methodology for locomotive track damage studies

To understand the effect of locomotive dynamic behaviour on track damage, a great number of train operational parameters should be considered in the analysis. Two of the critical parameters are based on the introduction of friction-creep curves and in-train forces in the locomotive models. Due to the high costs of locomotive field-testing programs, this paper proposes a methodology that focuses on the introduction of friction measurements, performed with an experimental tribometer, and estimates in-train forces from locomotive/track multibody simulations. Two implementation cases, dry and lubricated friction conditions, are presented in this paper.

Locomotive wheel wear simulation in complex environment of wheel-rail interface

Affected by the traction/braking, creep control and wheel-rail interface environment, wheel wear of locomotives is more complicated than that of other rolling stock. A locomotive wheel wear simulation model is developed, which includes a 3D locomotive track coupling dynamics model, a rolling contact model for rail traction vehicles based on Kalker's simplified theory, a PI-based creep control model and a wheel material wear model based on frictional power. The advantages of the dynamics model built in this paper are evaluated through two typical simulation cases. The effects of traction/braking and creep control on wheel wear are comprehensively investigated. The results indicate that the natural vibration characteristics of the locomotive/track system can be well reflected, and their influence on wheel wear can be taken into account. Traction and braking have a great influence on wheel wear, which should be considered for locomotive wheel wear simulation. It is a better way to control creep by using a control mode with variable creep threshold value.

Establishment and validation of a locomotive–track coupled spatial dynamics model considering dynamic effect of gear transmissions

Abstract Gear transmission is a key element in a locomotive for delivery of traction power from the electric motor to the wheelset. Its dynamic performance has a direct effect on the operational reliability or even safety of the locomotive or the train. In this paper, based on the classical vehicle–track coupled dynamics theory and the gear dynamics theory, a locomotive-track coupled spatial dynamics model is established where the dynamic effects from the gear transmissions are considered. In this model, the gear transmission system and the classical locomotive–track system are coupled with each other via wheel–rail contact interface and the gear mesh interface. The dynamic interactions between the rotational motions of the power transmission system, the vertical, lateral, longitudinal, roll, yaw and pitch motions of the components in a locomotive are fully included. This more comprehensive dynamics model of the locomotive–track system enables detailed investigations on the system dynamic performance under the complicated excitations from both the track geometrical irregularity and the internal mesh process of gear pairs (e.g. time-varying mesh stiffness, gear errors), especially the dynamic responses of the gear transmission in the complete vehicle vibration environment. This model is finally validated by comparisons with the field test data in the time- and time-frequency domains. And it is capable of being used for dynamics related assessment, such as vibration, fatigue and damage of the powered railway vehicles considering gear transmissions, especially for traction and/or braking conditions.