A Novel Method for Predicting Power Transient CHF via the Heterogeneous Spontaneous Nucleation Trigger Mechanism

Brown, Emory; Yan, Yusong; Marcum, Wade R.

doi:10.1080/00295450.2020.1724730

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…Finally, the function design, implementation method, and software development of the monitoring system are introduced. After the completion of the system, it was tested in the laboratory to prove that the data communication can be carried out normally [5]. Qian and others designed a frequency converter remote monitoring system based on a GPRS communication network in combination with oil field production.…”

Section: Literature Reviewmentioning

confidence: 99%

The Function of Remote Monitoring System of a Robot Inverter Based on PLC and Cloud Platform

Yu¹

2022

Journal of Sensors

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In order to improve the communication efficiency of the CAN bus application layer communication protocol of the inverter network monitoring system, this paper proposes a TTCAN scheduling optimization algorithm for the robot inverter remote monitoring system based on PLC and cloud platform. According to the analysis of the communication requirements of the frequency converter monitoring system, this paper designs the application layer protocol of the nodes in the system and establishes the system scheduling matrix. The time triggered can bus protocol (TTCAN) combines the event triggered mechanism with the time triggered mechanism. The hybrid scheduling strategy is used to optimize the system matrix of TTCAN; that is, the hybrid particle swarm optimization algorithm is used for periodic messages. For nonperiodic messages, uniform scheduling strategy and dynamic scheduling algorithm are adopted. The simulation is carried out by MATLAB tools. The simulation results show that the sum of partial minimum transmission time is 1928 and there are multiple optimal individuals through the hybrid particle swarm optimization algorithm. Compared with the traditional genetic algorithm and single particle swarm optimization algorithm, the hybrid algorithm is better than the traditional genetic algorithm and particle swarm optimization algorithm in terms of iteration times and average fitness value. In conclusion, the optimized TTCAN protocol improves the real-time performance, reliability, and bandwidth utilization of the communication network.

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Section: Literature Reviewmentioning

confidence: 99%