Owing to the corrosive sulphides in the mineral insulating oil such as dibenzyl disul-phide(DBDS),copper windings in oil‐immersed transformers may suffer sulphur *** study investigates the influence of different cont...
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Owing to the corrosive sulphides in the mineral insulating oil such as dibenzyl disul-phide(DBDS),copper windings in oil‐immersed transformers may suffer sulphur *** study investigates the influence of different contact conditions on the corrosion of copper conductors in ***‐immersed accelerated corrosion experiment was conducted on copper conductors with various contact materials and different layers of insulating *** surface micromorphology,deposition compo-nent and the potentiodynamic polarization characteristics of copper conductors were *** results show that copper with different contact materials suffer sulphur corrosion;conversely,bare copper rarely *** was also verified that the existence of a particular gap between copper and contact layer is a significant factor in sulphur corrosion by the formation of a concentration cell on the copper *** insu-lating paper wrapped around copper conductors does not increase the corrosion ten-dency of copper;however,it contributes to the formation of a region concentrated with DBDS,Cu^(2+),H^(+)by adsorption and impediment,which plays a key role in facilitating the sulphur corrosion of copper ***,sulphur corrosion can also occur on other metal parts in transformers when there is a particular gap on surfaces other than copper.
This paper investigates multi-player Stackelberg-Nash(SN) game problems of nonlinear continuous-time systems via policy iteration adaptive dynamic programming(ADP).To represent different hierarchical roles,the appropr...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper investigates multi-player Stackelberg-Nash(SN) game problems of nonlinear continuous-time systems via policy iteration adaptive dynamic programming(ADP).To represent different hierarchical roles,the appropriate cost functions of the leader and each follower are *** introducing the ADP technique,the policy iteration algorithm is developed to obtain approximate solutions of the coupled HJ equation of each ***,the multi-player SN equilibrium is derived to guarantee the stability of the closed-loop ***,the developed method is realized by employing the critic neural networks through the gradient-based weight updating ***,simulation example validates the effectiveness of the present method.
Automatic Guided Vehicle (AGV) semantic attack is now becoming an important research topic in digital workshops. Unfortunately, the conventional attack detections could trigger the wrong attack detection alarms, becau...
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The nitrogen removal in wastewater treatment plants (WWTPs) usually consumes a significant amount of energy, for example, oxygen injection. To reduce energy consumption while ensure the quality in the effluent of WWTP...
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ISBN:
(数字)9798331544577
ISBN:
(纸本)9798331544584
The nitrogen removal in wastewater treatment plants (WWTPs) usually consumes a significant amount of energy, for example, oxygen injection. To reduce energy consumption while ensure the quality in the effluent of WWTPs, this paper proposes a control strategy based on the Multi-Objective Nonlinear Marine Predator Algorithm (MONMPA). First, to address the unacceptable energy consumption issue due to fixed setpoints in the wastewater treatment process, a multi-objective setpoint optimization scheme is proposed in this paper. Second, to deal with uncontrollable inflow disturbances and uncertainty, a predictive controller with feedforward compensation for inflow disturbances is adopted to further accurately track the optimized setpoints. Finally, the proposed control strategy is compared with other standard approaches, and experimental results showed the effectiveness and superiority of this strategy.
The target defense problem involves intercepting an attacker before it reaches a designated target region using one or more defenders. This letter focuses on a particularly challenging scenario in which the attacker i...
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In this paper,we present a novel method for solving the multi-robot path planning problem in narrow warehouse *** may have to be operated in close proximity to each other in narrow lanes between pod clusters,which cha...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,we present a novel method for solving the multi-robot path planning problem in narrow warehouse *** may have to be operated in close proximity to each other in narrow lanes between pod clusters,which challenges robot-robot collision *** motivates us to consider an efficient algorithm to generate collision-free robot paths in narrow warehouse *** algorithm builds a two-stage scheme based on integer programming:(i) multirobot path planning under one-way constraints;and(ii) fast feasibility *** developed algorithm has two advantages:(i) the proposed scheme successfully avoids the situation where the robots collide in narrow lanes;and(ii) by using the fast feasibility heuristics which replaces the integer programming solver's built-in feasibility heuristics,the feasibility heuristics' running time can be effectively reduced while producing better initial feasible solutions for the integer programming model solving *** with the existing optimal,sub-optimal,and polynomial-complexity algorithms,our developed algorithm can leverage the advantage of integer programming to effectively reach a balance between running time and optimality in narrow warehouse *** point is demonstrated in the simulations.
Automated surface inspection(ASI) is an important research content in computer *** recent years,with the application of deep learning models represented by convolutional neural networks(CNN) in computer vision,surface...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Automated surface inspection(ASI) is an important research content in computer *** recent years,with the application of deep learning models represented by convolutional neural networks(CNN) in computer vision,surface defect detection based on computer vision has made impressive ***,compared with a few or dozens of pictures in real industrial scenes,traditional deep learning methods require a large amount of annotation data for training,so it is quite difficult to adapt to the complex industrial scenarios with varying surface profiles,lighting conditions,imaging angles and *** these difficulties,there is still a wide gap in the performance between the detection of small-scale and large-scale *** Generative Adversarial Nets(GANs) based augmentation method can only be used for classification networks or unsupervised learning,and if applied to detection networks,they need to be labeled,which requires much labor and *** order to solve these problems,a metal surface small-scale defect images augmentation method is *** method contains two parts:generation part and augmentation *** the generation part,two pairs of generators and discriminators are used to generate the defect areas and the background areas of the image,which can not only generate more realistic defect images than others but also save the training process for surface *** the augmentation part,the real defect images and the generated defect images are concatenated before copy-pasting them on background images to generate annotated dataset for *** conduct experiments on our metal surface *** experimental results show that our method can generate highquality defect samples and background samples,which greatly enriches the original *** evaluate different augmentation strategies,and ultimately,we achieve 6.2% improvement on baseline and 4.4% on copy-pasting method.
Uncertainties, including parametric and unstructured uncertainty, are the main obstacles for hydraulic systems to achieve high precision control. This paper investigates the asymptotic tracking problem of a pump-contr...
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This paper addresses the trajectory planning problem of a spatial dual-arm robot and proposes a method to minimize the floating pedestal perturbation using a nonlinear planning method. The joint angle of the dual-arm ...
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In this paper,a new recursive implementation of composite adaptive control for robot manipulators is *** investigate the recursive composite adaptive algorithm and prove the stability directly based on the Newton-Eule...
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In this paper,a new recursive implementation of composite adaptive control for robot manipulators is *** investigate the recursive composite adaptive algorithm and prove the stability directly based on the Newton-Euler equations in matrix form,which,to our knowledge,is the first result on this point in the *** proposed algorithm has an amount of computation O(n),which is less than any existing similar algorithms and can satisfy the computation need of the complicated multidegree *** manipulator of the Chinese Space Station is employed as a simulation example,and the results verify the effectiveness of this proposed recursive algorithm.
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