In order to carry out maintenance in accordance with the state of the system, the locomotives in operation should be equipped with a system to monitor the main parameters and characteristics of safe operation and mini...
In order to carry out maintenance in accordance with the state of the system, the locomotives in operation should be equipped with a system to monitor the main parameters and characteristics of safe operation and minimum risk. This work presents the method of determining the strains and influencing the configuration of the track on specific strains in the case of operation of the electric locomotive class 43, 3400 kW (4620 hp). Two tensometric rosettes with three strain gauges each, from which signals were taken when the electric locomotive operated in operation on a set route, with a trainset. The area in which the transducers were installed was determined by a previous analysis of the locomotive beat. The signals taken from the tensometric transducers were processed by obtaining the main stresses from the assembly points of the brands. The results obtained, i.e. the main stresses were correlated with the geometric configuration of the rail.
Failures of assemblies and parts lead sometimes to cracks which can have disastrous results, even if the stress level in a structure considered 'perfect' can indicate a satisfactory design. The study of crack ...
Failures of assemblies and parts lead sometimes to cracks which can have disastrous results, even if the stress level in a structure considered 'perfect' can indicate a satisfactory design. The study of crack initiation and propagation is a complex subject, which implies different notions from Physics, Chemistry and Mechanics. Understanding the main issues regarding the propagation of cracks – is treated in the Fracture Mechanics engineering field. For example, engineers desire to understand the conditions in which a pre-existing crack continues to propagate. Next, we will use Finite Element Analysis to determine the stress at the tip of a pre-existing crack, also other fracture mechanics related characteristics. Thus, we will use the Fracture Mechanics module for the Algor finite element analysis software, version 22.1.
Safety in industrial robotic environments is a hot research topic in the area of human-robot interaction (HRI). Up to now, a robotic arm on an assembly line interacts with other machines away from human workers. Nowad...
详细信息
Optimal location of sensors for enhanced damage detection capability is one of the key factors which needs to be considered when designing SHM system based on PZT sensors. However the sensitivity of a sensor to damage...
详细信息
The economic sector includes agriculture as a major player. Around the world, the primary issue and hot topic is agriculture automation. As a result of the population boom, there is a huge increase in the need for bot...
The economic sector includes agriculture as a major player. Around the world, the primary issue and hot topic is agriculture automation. As a result of the population boom, there is a huge increase in the need for both jobs and food. Farmers employed traditional techniques, which included insufficient to meet these needs. This led to the introduction of new automated techniques. These innovative techniques supplied the world’s food needs while giving billions of people access to jobs. An agricultural revolution has been sparked by artificial intelligence. With the use of this technology, crop yields are now more resistant to many conditions like population increase, climate change, job troubles, and food security concerns. The primary goal of this study is to evaluate the numerous ways artificial intelligence is being used in agriculture, including the use of sensors and other tools built into drones and robots for weeding, spraying, and irrigation. The excessive use of pesticides, herbicides, water, and other resources is reduced by these technologies, and the soil fertility is maintained. They also aid in the effective use of labor, which raises productivity and quality. In order to provide a concise summary of the current state of agricultural automation, including the use of drones and robots for weeding, this study analyses the research of several researchers. Along with two automated weeding strategies, the various ways of soil water sensing are described. This study discusses the use of drones as well as the numerous spraying and crop monitoring techniques that may be utilized with them.
The purpose of this study is to present the preliminary steps in facial expressions recognition with a new version of an expressive social robotic head. So, in a first phase, our main goal was to reach a minimum level...
The purpose of this study is to present the preliminary steps in facial expressions recognition with a new version of an expressive social robotic head. So, in a first phase, our main goal was to reach a minimum level of emotional expressiveness in order to obtain nonverbal communication between the robot and human by building six basic facial expressions. To evaluate the facial expressions, the robot was used in some preliminary user studies, among children and adults.
The paper presents the navigation mobile walking robot systems for movement in non-stationary and non-structured environments, using a Bayesian approach of Simultaneous Localization and Mapping (SLAM) for avoiding obs...
详细信息
The paper presents the navigation mobile walking robot systems for movement in non-stationary and non-structured environments, using a Bayesian approach of Simultaneous Localization and Mapping (SLAM) for avoiding obstacles and dynamical stability control for motion on rough terrain. By processing inertial information of force, torque, tilting and wireless sensor networks (WSN) an intelligent high level algorithm is implementing using the virtual projection method. The control system architecture for the dynamic robot walking is presented in correlation with a stochastic model of assessing system probability of unidirectional or bidirectional transition states, applying the non-homogeneous/non-stationary Markov chains. The rationality and validity of the proposed model are demonstrated via an example of quantitative assessment of states probabilities of an autonomous robot. The results show that the proposed new navigation strategy of the mobile robot using Bayesian approach walking robot control systems for going around obstacles has increased the robot's mobility and stability in workspace.
One of the solutions for improving quality of a railway pantograph-catenary contact during a high speed run is to implement an active control in the pantograph system. The goal of the control is to adjust an actual up...
One of the solutions for improving quality of a railway pantograph-catenary contact during a high speed run is to implement an active control in the pantograph system. The goal of the control is to adjust an actual uplift force exerted by a pantograph on a contact line to reduce fluctuations observed in the reaction force course. While the closed-loop control is conducted, the actual contact force has to be measured. The paper presents a new design of the load cell dedicated for that purpose. The shape of the designed and manufactured device was chosen to allow for easy implementation in a pantograph construction. The load cell is based on the Fiber-Bragg grating sensor, since more popular techniques based on electric quantities measurements may be disturbed by strong electromagnetic field which is present in the vicinity of pantograph-catenary interface. The paper discusses the results of sensor validation procedure.
To control the lower-limb exoskeleton robot effectively, it is essential to accurately recognize user status and environmental conditions. Previous studies have typically addressed these recognition challenges through...
To control the lower-limb exoskeleton robot effectively, it is essential to accurately recognize user status and environmental conditions. Previous studies have typically addressed these recognition challenges through independent models for each task, resulting in an inefficient model development process. In this study, we propose a Multitask learning approach that can address multiple recognition challenges simultaneously. This approach can enhance data efficiency by enabling knowledge sharing between each recognition model. We demonstrate the effectiveness of this approach using Gait phase recognition (GPR) and Terrain classification (TC) as examples, the most conventional recognition tasks in lower-limb exoskeleton robots. We first created a high-performing GPR model that achieved a Root mean square error (RMSE) value of 2.345 ± 0.08 and then utilized its knowledge-sharing backbone feature network to learn a TC model with an extremely limited dataset. Using a limited dataset for the TC model allows us to validate the data efficiency of our proposed Multitask learning approach. We compared the accuracy of the proposed TC model against other TC baseline models. The proposed model achieved 99.5 ± 0.044% accuracy with a limited dataset, outperforming other baseline models, demonstrating its effectiveness in terms of data efficiency. Future research will focus on extending the Multitask learning framework to encompass additional recognition tasks.
暂无评论