Radar Health Management System Based on Multi-agent

Zhang, Qixiao; Yang, Jianjun; Peng, Dong; Cai, Yi

doi:10.1109/phm-shanghai49105.2020.9280953

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…As a result, agents may perform trust evaluations based on the actions of cooperating parties, and they can also share and distribute assessment information to determine the target agent's trustworthiness, guiding agents' cooperative decision making. In this work, "trust" in a multi-agent system is defined as the assessment of a target agent's ability to offer services (resources) based on the consistency of the agent's behavior in a given context, including the observation of the agent's previous conduct and other agents' opinions on it [5]. Trust is within a certain range and changes dynamically according to multiple collaborations between agents.…”

Section: Basic Conceptsmentioning

confidence: 99%

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Multi-Agent-Based Film Editing Collaboration System

Liang

2022

Computational Intelligence and Neuroscience

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In order to realize the effective cooperation between editor agents in the film and television editing collaboration system, it is analyzed that the state change of the film and television editing and production process is affected by the cross influence of multiple factors. A single agent can no longer satisfy the current film and television production. From the point of view of system theory, this article constructs the learner agent in the film and television editing system by introducing a new cooperation mechanism—the multi-agent collaborative system model. Collaboration and cooperation between multiple agents and the reinforcement learning between multiple editor agents are realized based on the film and television editing system between multiple agents. The operation mechanism of the separate organization is organized together, cooperates with each other and works in harmony to complete the collaborative effect of the film and television editing system, and can improve the interaction efficiency between the editor agents. Agent film and television editing’s cooperative learning approach allows for successful collaboration among editor agents. The Bayesian technique is utilized in this study to assess the likelihood of effective cooperation between two agents, and a trust model based on this method is presented, making up for the shortcomings of the existing collaborative learning system. The multi-agent collaboration system will be utilized for production in the film and television editing collaboration system. Many of the movie’s scenes and segments are created using computer technology special effects, giving viewers a very unique experience and a feast for the eyes and ears.

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Section: Basic Conceptsmentioning

confidence: 99%

“…In this case, there is a recommendation agent between x and Y, but there is no direct cooperation. erefore, the direct reliability θ dt still adopts 1/2, and the recommended reliability θ rt is calculated by formula (5). Finally, the combination is carried out by formula (1), that is,…”

Section: Analysis Of the Trust Relationship Betweenmentioning

confidence: 99%

Multi-Agent-Based Film Editing Collaboration System

Liang

2022

Computational Intelligence and Neuroscience

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“…Gao and Chu 2 performed condition monitoring and health management on the active electronically scanned array radar system through information fusion. Zhang et al 27 built a radar health management system based on multiagent technology to manage the health status of components. Guo et al 28 applied the AHP and fuzzy evaluation method to evaluate the radar system's health status.…”

mentioning

confidence: 99%

“…Yu et al 29 used the AHP and fuzzy evaluation method for radar transmitter systems to improve the accuracy of the health status assessment of radar transmitters. The parameter indices in [27][28][29] are determined from different attributes, such as reliability, detectability, and interference resistance. Nonetheless, to the best of our knowledge, for the radar system at aerospace launch sites, the construction of a complete multilayer evaluation system based on the multiple parameter indices of the components has not been reported yet.…”

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confidence: 99%

Health status assessment of radar systems at aerospace launch sites by fuzzy analytic hierarchy process

Chen

Xiahou

et al. 2022

Quality & Reliability Eng

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The radar system is a fundamental part of the launch site ground equipment, and its health status is critical to the success of testing tasks and launch missions at aerospace launch sites. The health status assessment of radar systems is, however, challenging due to multiple health indicators of its components and epistemic uncertainty associated with the elicited data. In this article, a fuzzy analytic hierarchy process method, which combines the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation methods, is put forth to assess the health status of radar systems at aerospace launch sites. In the first place, the four‐layer hierarchical structure, including the system, subsystem, performance indicator, and parameter index layers, of a real‐world radar system at an aerospace launch site is constructed. The AHP is, then, leveraged to identify the weights of each layer of the hierarchical structure. By eliciting the data of parameter indices as fuzzy numbers and using the fuzzy comprehensive evaluation method to calculate the layer‐by‐layer health status of the hierarchical structure, the health grade membership of the radar system is calculated. The health status of the radar system is, then, assessed in accordance to the maximum membership principle. A new importance metric is proposed to assess the influence of parameter indices on the current system's health status. The results of the importance metric can provide valuable insight for reliability enhancement and health management of the radar system.

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“…The development of PHM makes it possible to answer BITE system problems that have not been integrated into a system capable of providing real-time system diagnosis information (Zhang and Ma 2012;Prisacaru et al 2017;Zhang et al 2020). The application of PHM on the MASTER-T radar can not only inform technicians about the health status of the radar system accurately.…”

Section: Introductionmentioning

confidence: 99%

Prognostics and Health Management on MASTER-T Radar Maintenance Using Failure Mode Effect and Criticality Analysis Method to Predict Critical Failures and Extend Life

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The readiness of military defense radar is absolute in effort to maintain Indonesia air sovereignty from potential threats that may enter and endanger the security of citizens and residents throughout Indonesia territory. Currently, the radar health condition monitoring system has not been integrated in a whole system integrated manner between the subsystems each other, it causes a relatively long time to identify critical failures that may arise in the related subsystems. Prognostics and health management (PHM) takes the current state of the system as a starting point, combined with structural characteristics, parameters, environmental conditions, and historical data of objects, to monitor the equipment working status with various knowledge, algorithms, and models based on advances in sensor acquisition technology. PHM on MASTER-T radar maintenance is proposed using the method of failure mode effect and criticality analysis (FMECA) which aims to predict critical failures, thus preventing fatal damage that can result in system breakdown. Predictive maintenance is added to conventional maintenance, thereby minimizing idle time when repairs must be made with the radar system inactive. The application of this method obtains a risk priority number (RPN) which is used as a reference in determining critical components that must be repaired immediately.

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Radar Health Management System Based on Multi-agent

Cited by 3 publications

References 3 publications

Multi-Agent-Based Film Editing Collaboration System

Multi-Agent-Based Film Editing Collaboration System

Health status assessment of radar systems at aerospace launch sites by fuzzy analytic hierarchy process

Prognostics and Health Management on MASTER-T Radar Maintenance Using Failure Mode Effect and Criticality Analysis Method to Predict Critical Failures and Extend Life

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