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Multi-agent systems (MAS) for software construction is an approach that has been applied to different and complex domains that require distributed and intelligent environments. A crucial concern related to MAS is how software agents based on the Belief-Desire-Intention (BDI) model should be tested. An agent is an autonomous and pro-active entity that can exchange information with other agents distributed...
Multi agent systems have gained increasing interest in research, particularly in areas where distributed intelligence is required, in situations where single centralized methods are not suited. Fault detection and identification in chemical process industries is one such domain where multi agent systems would be ideally suited. A chemical process industry experiences various faults at different levels...
Petrochemical plants are extremely complex systems with many dynamically interconnected components. Traditional approaches to fault detection and diagnosis of these complex systems follow a centralized design in which huge and sophisticated models (e.g., first principle models) are constructed to process sensor data acquired from the entire plant. These systems are very difficult to design due to...
In recent years autonomic computing, specifically autonomic data centre management has gained significant attention. Human intervention be minimized to reduce the operating costs of business applications. In this paper we focus our attention to the self-repair dimension and present a flexible probabilistic framework to develop agents for self-repair in the context of business-information-system components...
A Multi-agent based Remote fault Diagnosis system is an important system for high speed and automation which can not only monitor the status of the remote device, but serve for the remote device. Remote Fault diagnosis system are vital aspects in automation process, in this sense, remote diagnosis systems should support decision-making tools, the enterprise thinking and flexibility. In this paper...
To improve existing defects of on-line monitoring of hydropower generating units, the paper designs a MAS-based fault diagnosis system model. In allusion to the classic model of MAS-based fault diagnosis system, it improves information interactive features between mission-controlled subsystems and diagnosis task decomposition subsystem to increase the rate of control signal transmission and makes...
Process supervisory systems in large scale chemical plants have traditionally relied on single monolithic methods. However, most faults occur at an equipment level which if allowed to propagate results in leaks, fires, explosions causing loss of life, capital invested and production downtime. Monitoring the overall process for detection of such equipment failures may be futile as deviations in the...
This paper presents a multi-agent system(MAS_VFD&HM) developed for complex vehicle fault diagnosis and health monitoring. The MAS_VFD&HM consists of signal diagnostic agents, special case agents, and a vehicle diagnostic/monitoring agent. A signal agent is responsible for the fault diagnosis or monitoring of one particular signal using either a single signal or multiple signals depending on...
A Multi-agents based fault diagnosis reference model for MSW incineration process is important for high speed and automation The desired high levels of incineration efficiency as well as plant facility reliability. Fault diagnosis and maintenance are vital aspects in MSW incineration process, in this sense, diagnosis and maintenance systems should support decision-making tools, new maintenance approaches...
In recent years, Guangdong Power Grid Corporation has built the largest scale electric energy telemetering system in China. More than 400,000 field units had been put into use in Guangdong province. With the scale of system becoming larger, the municipal power supply bureau faces more impression of maintenance work load. In order to decrease the maintenance work load, we have designed and implemented...
Elevator is a kind of special complex mechanical and electrical equipment, its faults are complex and dispersed. It is unable to satisfy the requirements that fast and generality of fault diagnosis only rely on a single failure matching mode. Focusing on this problem, in this paper, the intelligent agent technology is applied in fault diagnosis system based on the traditional fault diagnosis method...
Communication and processing capabilities of a single sensor node in WSN are limited. By integrating data from multiple sensor nodes, WSN is able to complete the task which a single sensor node can not complete. In order to give full play to WSN functions, the sensor nodes need collaboration. Agent and MAS can be regarded as the further development of a distributed problem-solving. The collaboration...
The configuration of a power distribution system can be altered by changing the status of switches on the feeders. When a fault occurred on a distribution system feeder, the faulted section is isolated by opening the switches adjacent to the fault. When the fault is isolated, the system is reconfigured so the outage areas due to the fault can be re-energized. In this paper, a BDI (believe-desire-intension)-based...
Transformers play a significant role in power systems. The traditional method of transformer maintenance is time based or off-line-based, which is inefficient and costly. This paper MAS technique was introduced into synthetic fault diagnostic system for power Transformer. Where each agent served as an intelligent knowledge body or intelligent disposal method thus the diagnostic result was deduced...
The efficiency and the effect of fault diagnosis are increasingly important for electric locomotive. However, due to the complexity of the locomotive system configuration and the locomotive inferior running condition, it is much difficult to realize the fault diagnosis system on electric locomotive. In this paper, a multi-objective fault diagnosis algorithm based on multi-agent is proposed. It considers...
The paper introduced a novel on-line fault diagnosis system model of the hydropower units based on multi-agent system. In allusion to the classical MAS-based fault diagnosis model, it proposes a new function of information interactive between the mission-controlled subsystem and the task decomposition subsystem to increase the transmission rate of control signals and designs the status-monitoring...
The proliferation of monitoring equipment on modern electrical power transmission networks is causing an increasing amount of monitoring data to be captured by transmission network operators. Traditional manual data analysis techniques fail to meet the analysis and reporting requirements of the utilities which have chosen to invest in monitoring. The volume of monitoring data, the complexities in...
Detailed, timely and accurate condition monitoring and diagnostic capability for generation assets is important for safely operating a power plant. A software system developed to perform this function for a fleet of plants must allow the extraction of important information from a large volume of data while operating over a distributed platform. This paper will focus on the development of a multi-agent...
This paper presents a multiagent architecture applied to factory automation. These agents detect faults in process automation and allocate intelligent algorithms in field device function blocks to solve these faults. It is also present a dynamic function block parameter exchange strategy which allows agent fieldbus allocation. The objective is to enable problem detection activities independent of...
On the analysis of current state of aeroengine remote diagnosis, collaborative mechanism based on multi-agent was introduced to overcome the obstacles of conventional remote fault diagnosis. The model of aeroengine remote collaborative diagnosis based on multi-agent was put forward on analysis of the positional relationship of all agents in the collaborative environment and the relationship between...
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