Intelligent Diagnosis and Maintenance

2010 ◽  
pp. 301-328
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Complex System ◽  
Remote Diagnosis ◽  
Diagnosis System ◽  
Intelligent Diagnosis ◽  
Agent Based ◽  
Intelligent Maintenance ◽  
Multiple Devices ◽  
Multi Agent ◽  
Intelligent Technology ◽  
High Level

Nowadays, intelligent diagnosis for the complex system has been a forefront of issue. The application of the artificial-intelligent technology has made the dream of using men’s knowledge to diagnose the complex system, and improves it up to a new grade. Traditional diagnosis is up to technical engineer experience to estimate equipment’s status, and make a judgment; this way has many limitations and little efficiency, with the increase of complexness of the equipment, there have to get some more effective methods. In 1980s, some experts have researched on the diagnosis system using intelligent technology. With the development of computer and network technology, intelligent technology has better support platform. Experts have researched on different branches of diagnosis technology and used these ideas into diagnosis system (Wu J.P. & Xiao J.G., 1997). As the developing of Internet, all equipments have been cyber and connected to network. More and more system is consists of multiple devices and have the characteristic of the distribution. In this case, remote diagnosis system gets more attentions because of its unmatched benefits. In the remote diagnosis system, the technology of multiple agent or called multi-agent often be used to resolve difficult diagnosis problems. Intelligent diagnosis is the develop trend that could perform intelligent maintenance in a high level of efficiency. Researching on intelligent diagnosis and applying it have significant meaning. Definition and development of diagnosis is introduced in this chapter firstly, which including different branch and fussing with other area. The advantage and shortage of different technology also be introduced. Then the remote diagnosis on network is discussed. The theory and development of Multi-agent based remote diagnosis technology is also presented. The trend and scene is been bring on finally.

A Multi-Agent-Based Research on Tourism Supply Chain Risk Management

2014 ◽  
Vol 13 (03) ◽  
pp. 133-153 ◽  
Author(s):  
Luo Biao ◽  
Wan Liang ◽  
Liang Liang
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Tourism Industry ◽  
Limiting Factors ◽  
Supply Chain Risk Management ◽  
Agent Based ◽  
Research Perspective ◽  
Multi Agent ◽  
High Level ◽  
Tourism Supply Chain

The high level of complexity of tourism supply chain and the inherent risks that exist in the demand and supply of resources are viewed as major limiting factors in achieving high level performance. Though emerging literature on risk management in tourism industry or its equivalent exists, progress in this area is uneven, as most research focuses on this problem from the traditional single business risk management perspective, without considering the entire range of different suppliers involved in the provision and consumption of tourism products. This study applies risk management theory to a new research perspective, which is tourism supply chain management (SCM). This paper develops a framework for the design of a multi-agent-based decision support system (DSS) based on multi-agent theory and technique, in order to manage disruptions and mitigate risks in tourism supply chain.

Agent Support for Design of Aircraft Parts

1998 ◽  
Author(s):  
Krishna N. Jha ◽  
Andrea Morris ◽  
Ed Mytych ◽  
Judith Spering
Keyword(s):  
Preliminary Design ◽  
Formal Representation ◽  
Web Based ◽  
Agent Based ◽  
Multi Agent ◽  
High Level ◽  
Legacy Applications ◽  
The Cost ◽  
And Control ◽  
Task Structures

Abstract Designing aircraft parts requires extensive coordination among multiple distributed design groups. Achieving such a coordination is time-consuming and expensive, but the cost of ignoring or minimizing it is much higher in terms of delayed and inferior quality products. We have built a multi-agent-based system to provide the desired coordination among the design groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and control functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to achieve the design goals.

Resource management and scheduling policy based on grid for AIoT

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740066 ◽  
Author(s):  
Yiqin Zou ◽  
Li Quan
Keyword(s):  
Resource Management ◽  
Interface Layer ◽  
Agent Based ◽  
Scheduling Policy ◽  
Resource Modeling ◽  
Service Resource ◽  
Multi Agent ◽  
Level Model ◽  
High Level ◽  
Resource Scheduler

This paper has a research on resource management and scheduling policy based on grid technology for Agricultural Internet of Things (AIoT). Facing the situation of a variety of complex and heterogeneous agricultural resources in AIoT, it is difficult to represent them in a unified way. But from an abstract perspective, there are some common models which can express their characteristics and features. Based on this, we proposed a high-level model called Agricultural Resource Hierarchy Model (ARHM), which can be used for modeling various resources. It introduces the agricultural resource modeling method based on this model. Compared with traditional application-oriented three-layer model, ARHM can hide the differences of different applications and make all applications have a unified interface layer and be implemented without distinction. Furthermore, it proposes a Web Service Resource Framework (WSRF)-based resource management method and the encapsulation structure for it. Finally, it focuses on the discussion of multi-agent-based AG resource scheduler, which is a collaborative service provider pattern in multiple agricultural production domains.

scholarly journals Framework of Experimental Design and Data Mining in Multi-agent Simulation

2022 ◽  
pp. 1-7
Author(s):  
Fa Zhang ◽  
Shi-Hui Wu ◽  
Zhi-Hua Song
Keyword(s):  
Complex System ◽  
Data Mining ◽  
Experimental Design ◽  
Complex Systems ◽  
Key Factors ◽  
Agent Based ◽  
Meta Model ◽  
Reduction Methods ◽  
Multi Agent ◽  
Using Data

Multi-agent based simulation (MABS) is an important approach for studying complex systems. The Agent-based model often contains many parameters, these parameters are usually not independent, with differences in their range, and may be subjected to constraints. How to use MABS investigating complex systems effectively is still a challenge. The common tasks of MABS include: summarizing the macroscopic patterns of the system, identifying key factors, establishing a meta-model, and optimization. We proposed a framework of experimental design and data mining for MABS. In the framework, method of experimental design is used to generate experiment points in the parameter space, then generate simulation data, and finally using data mining techniques to analyze data. With this framework, we could explore and analyze complex system iteratively. Using central composite discrepancy (CCD) as measure of uniformity, we designed an algorithm of experimental design in which parameters could meet any constraints. We discussed the relationship between tasks of complex system simulation and data mining, such as using cluster analysis to classify the macro patterns of the system, and using CART, PCA, ICA and other dimensionality reduction methods to identify key factors, using linear regression, stepwise regression, SVM, neural network, etc. to build the meta-model of the system. This framework integrates MABS with experimental design and data mining to provide a reference for complex system exploration and analysis.

AN AGENT BASED LANGUAGE FOR THE DEVELOPMENT OF DISTRIBUTED SOFTWARE SYSTEMS

1996 ◽  
Vol 05 (03) ◽  
pp. 347-366
Author(s):  
AGOSTINO POGGI ◽  
PAOLA TURCI
Keyword(s):  
Message Passing ◽  
Object Oriented ◽  
Software Systems ◽  
Multi Agent Systems ◽  
Agent Architecture ◽  
Distributed Software ◽  
Agent Architectures ◽  
Agent Based ◽  
Multi Agent ◽  
High Level

This paper presents a concurrent object-oriented language, called CUBL, that seems be suitable for the development and maintenance of multi-agent systems. This language is based on objects, called c_units, that act in parallel and communicate with each other through synchronous and asynchronous message passing, and allows the distribution of a program, that is, of its objects on a network of UNIX workstations. This language has been enriched with an agent architecture that offers some of more important features for agent-oriented programming and some advantages as regards the other implemented agent architectures. In particular this architecture allows the development of systems where agents communicate with each other through a high level agent communication language and can change their behavior during their life.

Behavioral Modeling of Multi Agent System

2015 ◽  
Vol 7 (1) ◽  
pp. 55-78 ◽  
Author(s):  
Rajib Kumar Chatterjee ◽  
Neha Neha ◽  
Anirban Sarkar
Keyword(s):  
Petri Net ◽  
Formal Analysis ◽  
Medical Emergency ◽  
Multi Agent System ◽  
Key Factors ◽  
Agent System ◽  
Agent Based ◽  
Multi Agent ◽  
Role Based ◽  
High Level

Modeling interactions between agents and the Multi-Agent System (MAS) behavior based on role based collaboration among the participating agents are the key factors to design of effective MAS dynamics. In this paper, a High level Multi Agent Petri Net called HMAP has been proposed which is capable of describing, analyzing and modeling dynamics of such MAS which are characterized as asynchronous, distributed, parallel and non-deterministic agent based systems. Proposed HMAP is also effective towards modeling roles, collaborations and interactions among the heterogeneous agents in MAS environment. Moreover the HMAP is useful in formal analysis of several behavioral properties of MAS like, Reachability, Home properties, Boundedness, Liveness and Fairness. The proposed mechanism has been illustrated using a suitable case study of Medical Emergency System. Moreover, to further validate the proposed concepts of HMAP, it has been simulated using Color Petri Net based tool called CPN Tool, with some restriction.

Web Service and Multi-Agent Based Fault Diagnosis System for MSW Incinerators

2011 ◽  
Vol 179-180 ◽  
pp. 580-585 ◽  
Author(s):  
Hai Rui Wang ◽  
Ya Li ◽  
Ying Jiang
Keyword(s):  
Fault Diagnosis ◽  
Web Service ◽  
Web Sites ◽  
Distributed Environment ◽  
Diagnosis System ◽  
Agent Based ◽  
Data Services ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Collaborative Diagnosis

Based on Web Service and Multi-agents technology, this paper proposes to build a remote distributed fault diagnosis system for equipments of an incineration plant which requires real-time diagnosis in a widely distributed environment. The system is modeled and implemented by multi-agent technology and is composed of a large number of agents, which are deployed at different web sites. To extend system capabilities, a user can provide additional diagnosis procedures, diagnosis services or data services. Based on diagnosis goals, relevant agents are assembled together to form a remote collaborative diagnosis system. The system can be used in any incineration plants, which greatly simplifies the deployment and maintenance efforts.

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