Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

John, Yakubu Mandafiya; Sanusi, Abdullahi; Ibrahim, Yusuf; Modibbo, Umar Muhammad

doi:10.47852/bonviewjcce2202216

Cited by 11 publications

(5 citation statements)

References 24 publications

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“…(3.2), under the premise of selecting a action in a status, Q t+1 (s t , a t ) means the updated reward expectation; Q t (s t , a t ) indicates the corresponding original reward expectation; r + 1 refers to the return reward;ηdenotes the Learning rate; γ stands for the decay rate; max a t +1 Q t (s t+1 , a t+1 ) indicates the max expected reward for all selectable a t+1 actions in the updated s t+1 state. In the automatic OA design of steel bars, MARL utilizes multiple intelligent agents to plan paths from one end of the beam or column to the other end, and navigate the starting and ending points of the driving path [15]. The relevant intelligent definition operation principle is shown in Fig.…”

Section: The Steel Bar Oa Distribution Design Based On Marl Structurementioning

confidence: 99%

Design optimization of obstacle avoidance of intelligent building the steel bar by integrating reinforcement learning and BIM technology

Chai,

Guo

2024

Archives of Civil Engineering

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In promoting the construction of prefabricated residential buildings in Yunnan villages and towns, the use of precast concrete elements is unstoppable. Due to the dense arrangement of steel bars at the joints of precast concrete elements, collisions are prone to occur, which can affect the stress of the components and even pose certain safety hazards for the entire construction project. Because the commonly used the steel bar obstacle avoidance method based on building information modeling has low adaptation rate and cannot change the trajectory of the steel bar to avoid collision, a multi-agent reinforcement learning-based model integrating building information modeling is proposed to solve the steel bar collision in reinforced concrete frame. The experimental results show that the probability of obstacle avoidance of the proposed model in three typical beam-column joints is 98.45%, 98.62% and 98.39% respectively, which is 5.16%, 12.81% and 17.50% higher than that of the building information modeling. In the collision-free path design of the same object, the research on the path design of different types of precast concrete elements takes about 3–4 minutes, which is far less than the time spent by experienced structural engineers on collision-free path modeling. The experimental results indicate that the model constructed by the research institute has good performance and has certain reference significance.

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Section: The Steel Bar Oa Distribution Design Based On Marl Structurementioning

confidence: 99%

Design optimization of obstacle avoidance of intelligent building the steel bar by integrating reinforcement learning and BIM technology

Chai,

Guo

2024

Archives of Civil Engineering

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“…The broadband admittance model can effectively obtain small signal excitation of equipment, but it does not pay attention to the complex nonlinearity of the internal iron core of CVT based on characterizing the frequency characteristics of CVT, and there is no corresponding relationship between the intermediate transformer model and the physical structure of the transformer [19]. Therefore, based on the dual transformation relationship of the electromagnetic circuit, a dual model of the transformer under the excitation branch is proposed, and its parameters are identified and allocated.…”

Section: Nonlinear Models' Construction Based On Saturation Character...mentioning

confidence: 99%

Influence of electromagnetic transient physical models considering characterization characteristics on capacitive voltage transformers

Geng,

Yang,

et al. 2024

Archives of Electrical Engineering

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The equivalent circuit of traditional capacitive voltage transformers often faces the problem of complex data calculation and difficulty in grasping the internal nonlinear characteristics of transformers when constructing broadband models, resulting in poor power accuracy and stability. Therefore, with the help of electromagnetic transient physical models, the admittance sub model and nonlinear model are established by considering the frequency and saturation characteristics of the transformer. Based on the characteristics of capacitive voltage transformers, the model is processed in parallel to obtain a broadband coupling transformer model. The results showed that the error between the simulated current peak amplitude and voltage results of the model and the measured values was less than 2% and 1%, respectively. In the fault results, the harmonic error of the load voltage of the improved transformer was relatively small, far less than the error result of 2.73% of the traditional transformer. The proposed transformer model can better characterize its characteristics and has good transient response ability, providing reference tools and value for the operation and state detection of power systems.

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“…The common relay protection measures used in SD fault handling are two-stage differential protection and multi-stage differential protection. Two-stage polar differential protection uses the load mode for relay protection on the trunk feeder [27]. If a fault occurs on a full overhead feeder rather than a full cable feeder, it is important to quickly disconnect the current at the fault location in order to diagnose whether the fault is transient or The relay protection for 35 kV TLs must meet the performance standards of high sensitivity, fast response, safety, and reliability in order to meet the daily maintenance and regular operation of 35 kV TLs.…”

Section: Kv Tl Relay Protectionmentioning

confidence: 99%

Fault Detection and Location of 35 kV Single-Ended Radial Distribution Network Based on Traveling Wave Detection Method

Xu,

Zhou,

Nie

et al. 2023

Processes

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With the progress of society and the iterative improvement of infrastructure construction, the power grid transmission lines have also entered an era of intelligence. The national distribution system has made ensuring the regular operation of the distribution network as well as prompting troubleshooting and detection its top priority. Research on fault diagnosis for 35 kV single-ended radial distribution networks is still in its infancy compared to other hot topics in the industry, such as short-circuit fault detection and fault node localization. This study adopts the 35 kV single-ended radial distribution network as a model, detects fault lines via the traveling wave method, and accurately locates fault nodes using the wavelet conversion method, hoping to quickly identify and locate fault nodes in distribution networks. The experimental results demonstrate that the research method can quickly identify the faulty line and carry out further fault node location detection. The final obtained fault distance is 1.19 km with an actual error of only 0.16 km; the maximum relative errors are only 0.33 km and 0.21 km when the initial phase angle and transition resistance parameters are changed, respectively; and the error amplitude fluctuations are essentially stable. The experimental results also demonstrate that the research method can quickly identify the faulty line and carry out further fault node location.

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Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

Cited by 11 publications

References 24 publications

Design optimization of obstacle avoidance of intelligent building the steel bar by integrating reinforcement learning and BIM technology

Design optimization of obstacle avoidance of intelligent building the steel bar by integrating reinforcement learning and BIM technology

Influence of electromagnetic transient physical models considering characterization characteristics on capacitive voltage transformers

Fault Detection and Location of 35 kV Single-Ended Radial Distribution Network Based on Traveling Wave Detection Method

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