<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> When a fault occurs on section or component in given power system, if one more protective relays (PRs) and/or circuit breakers (CBs) associated do not work properly, other words, malfunction malfunctions happen with these PRs CBs, the outage area could be extended. As result, complexity of diagnosis greatly increased. The existing analytic models for system systematically address possible and...

The alarm-processing problem is to interpret a large number of alarms under stress conditions, such as faults or disturbances, by providing summarized and synthesized information instead flood raw alarm data. Alarm timestamps represent the temporal relationship among event occurrences consist rich useful for processing. However, has not been well utilized in existing methods. constraint network (TCN) type directed acyclic graph suitable representing logics. Based on TCN, new analytic model...

As a common athletics injury in orthopedics clinic, ankle may affect person's daily life and rehabilitation has gained increasing interests from the medical robotic societies. A novel hybrid robot is proposed, which composing of serial parallel part. In order to analyze its kinematic performances, part simplified as constrained 3-PSP mechanism. mathematical model for established based on screw theory. Then inverse kinematics obtained, reciprocal twists, Jacobian matrices singularity are...

Traditional skill transfer frameworks mainly focus on kinematics, while there has been a lack of studies dynamics. This article develops Riemannian-based dynamic movement primitive (DMP) framework for learning and generalizing multispace data, including position, orientation, stiffness from human demonstration. A simplified geometric configuration the arm skeleton is adopted to extract its endpoint stiffness. The skills variable are obtained in real time then transferred robots....

Due to the access of distributed energy and a new flexible load, electrical characteristics distribution network are significantly different from those traditional network, which poses challenge original topology identification methods. To address this challenge, hierarchical method based on regression analysis knowledge reasoning is proposed for an active low-voltage (ALVDN). Firstly, according bidirectional power flow voltage jump caused by ALVDN, selected as electric volume...

Accurate photovoltaic power prediction is of great significance to the stable operation electric system with renewable energy as main body. In view different influence mechanisms meteorological factors on generation in irradiation intervals and that data-driven algorithm has problem regression mean, this article, a method based interval distribution Transformer-long short-term memory (IID-Transformer-LSTM) proposed. Firstly, calculated boxplot. Secondly, distributed data each input into...

In response to the dual carbon policy, proportion of clean energy power generation is increasing in system. Energy storage technology and related industries have also developed rapidly. However, life-attenuation safety problems faced by lithium batteries are becoming more serious. order clarify aging evolution process solve optimization problem systems, we need dig deeply into mechanism accelerated rate inside outside ion from perspective stability a battery view complex changeable actual...

This work presents an ergonomic and interactive human-robot collaboration (HRC) framework, through which new collaborative skills are extracted from a one-shot human demonstration learned Riemannian dynamic movement primitives (DMP). The proposed framework responds to interaction forces adapt the task requirements, while generating virtual "ergonomic forces" that guide toward more postures, based on online monitoring of kinematics-based index. resulting motion is then integrated into...

This article proposes a novel inverse kinematic approach with translation transformation matrix based on screw theory to solve the problem for 6R robot manipulator offset joint. The is introduced convert joint new configuration intersecting axes, and mapping relationship from end effector angle established along Paden–Kahan subproblems. eight closed solutions of specific are deduced, which automatically eliminate singularity solutions. Moreover, precision efficiency proposed method verified...

Reinforced concrete (RC) has been widely used in infrastructure construction. Interfacial debonding between and reinforcing bars, which is one of the most serious causes structural failure, always a focus research. In this paper, novel deep learning-based guided wave analysis framework, termed Priori Knowledge-based Multi-task Wavelet Network, proposed for detecting interfacial RC structures. An end-to-end structure utilized to surmount challenges manual feature uncertainty dependence on...

In view of the close relationship between insulator fault and surface temperature distribution, a detection method for string is proposed combined infrared image segmentation artificial neural network, which based on analysis processing diagnosis network. Firstly, steel cap disk are extracted according to their length characteristics, then characteristics calculated, finally, model established by probability network (PNN) integral distribution rule heating law insulator. The K-means...

An analytic model for fault diagnosis of power system using optimization technique is expressed as unconstrained 0-1 integer programming problem, and consequently faulty equipment identification can be solved by refined mathematical operation. Considering the configuration automatic devices in modern systems, such protective relays reclosing relays, an improved technique-based method proposed this paper. The evaluation criteria presented considering relationship multiple main backup...

The paper based on the singular value decomposition and support vector machines, a new fault diagnosis of commutation failures method in HVDC system was proposed. coefficient matrix acquired from wavelet package transform is first decomposed value, by which current are mapped to different time-frequency sub-space. Then put into machines carry out SVM training type identification. this has high recognition rate, identification speed stability. It can solve classification well.

As power system restoration (PSR) is a multi-variable, multi-objective, multi-constrained nonlinear optimization problem, it difficult to establish mathematical model. Hence, new distributed model for PSR proposed in this paper by combing multi-agent technology (MAT) with ant colony algorithm (ACOA). The consists of number bus intelligent agents (BIAGs) and single control agent (ICAG). These are co-operative capable interact each other dynamically gain local optimal solutions. Based on that,...

This paper describes the hybrid characteristic of HVDC control system, which consists continuous dynamic behaviors and discrete event behaviors. A powerful modeling tool for system-hybrid Petri net (HPN) is introduced to model system. The proposed logic layer layer. layers are connected by a state identification interface. switches modes coordinates regulators in regulates variable system real time. interface identifies drives changes Simulation results show that responds well normal faults

The study of commutation failures requires more detailed and accurate simulation HVDC systems. Hypresim is an integrated digital simulator, which could provide reliable, extensible high-speed electromagnetic transient for power Its special characteristics are introduced in this paper. A system established based on Hypersim. Modeling details the ac system, dc lines, converters their control systems presented. Commutation triggered by external disturbances bus internal faults thyristor valve;...

As power system restoration (PSR) is a multi-variable, multi-objective, and multi-constrained nonlinear optimization problem, it difficult to establish well-defined mathematical model reasonably describe it. Given this background, new distributed for PSR proposed in paper by combining multi-agent technology (MAT) with tabu search method (TSM). The consists of number Crunode intelligent agents (CIAGs) single control agent (ICAG). These are co-operative capable interacting each other...

By learning a variable impedance control policy, robot assistants can intelligently adapt their manipulation compliance to ensure both safe interaction and proper task completion when operating in human-robot coexisting environments. In this paper, we propose DMP-based framework that learns generalizes skills from human demonstrations. This improves robots′ adaptability environment changes(i.e. the weight shape changes of grasping object at end-effector) inherits efficiency...

Recent advances in process technology have resulted novel defect mechanisms making the test generation very challenging. In addition to complete opens and shorts that can be represented via extreme resistance magnitudes, partial resistive are also of concern deeply scaled CMOS technologies. For open defects with intermediate magnitude values, it has been shown multi-pattern tests necessary for exposure. We extend this approach short values obtain a suite standard cell instances cover as well...

In order to ensure the safe operation of power system during peak hours, it is a common practice for supply companies adopt load shifting measures. light such practice, this study formulates an optimized plan based on TABU search algorithm. As object study, class C predicted. This fully recognizes fairness and continuity as constraints takes optimum economic benefits objective. After gap met, researchers Tabu algorithm achieve best plan. To testify reliability plan, in 21 substations grid...