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Knowledge quality and usability is core to a fault diagnosis system. Frame knowledge technique has been used to represent knowledge in many information and expert systems. To simplify the complexity of knowledge representation in fault diagnosis expert system, a novel object-frame knowledge representation approach based on hierarchical model was proposed. In this approach, domain specific knowledge...
The remote performance monitoring system used in modern agricultural machinery was proposed based on internet for the features of modern agricultural machinery such as complex, widely distributed, Poor working conditions, on-site performance monitoring being difficult and so on. The overall system structure and working principle was introduced emphasizing on the remote monitoring service center structure,...
Data mining based on rough set is introduced into CBR (Case-based Reasoning) system. And learning model of case base is established. The potential knowledge of case base is obtained and studied, through attribute reduction and attribute value reduction. Meanwhile, the structure and performance of case base is maintained and improved, through case reduction. The establishment of case base learning...
By analyzing the distinguishing features of the current popular weapons fault diagnosis expert system, as well as using component-based software design and complex knowledge representation methods, this paper proposes a solution of overall design and a description of user interfaces about the Weapons Fault Diagnosis Expert System Platform. It studies and discusses the complex knowledge representation...
According to the complexity, variety and nonlinear mode of UAV system's faults, a combined method based on expert system and BP neural network was proposed for the diagnosis. Besides BP neural network, the design of the expert system based on BP neural network and its software implementation were depicted respectively. This method can overcome the insufficiency of traditional expert system such as...
This paper describes the design of a fault diagnostic maintenance system for steam turbines based on a domain ontology and coupled to an expert system. The main data and information constituting the system come from disparate data bases with different usage. In this case a database for equipment characteristics and another containing maintenance acts defining symptoms, defects and remedies for maintenance...
This paper describes a fault diagnosis expert system for cement kiln developed in the way of integrating the new theories and methods of artificial intelligence and network technology with related production technology. The system can give online fault diagnosis and has features of simple network interface, excellent openness and easy expansibility. The design of the system layout, database, knowledge...
This paper indicating to the actual question of a surface-to-air missile system failure diagnosis, researched the fault intelligent diagnosis question through the expert system method. A surface-to-air missile equipment Fault Diagnosis Expert System based on the rules-ratiocination technique is conceived by the notation of equipment, fault knowledge based on the rules-ratiocination technique, and...
To reach the high reliability of flight control software of unmanned aerial vehicle (UAV), it is required to design a fault diagnosis expert system in flight control system. Our main contribution to this work is in providing a fuzzy Petri Nets approach for modeling the fault diagnosis of flight control system. The systematic rule-based knowledge is obtained from human expertise and the fault diagnosis...
Based on the analyses of the Supervison Workstations of coal mine safety, the shortcomings in traditional methods for fault diagnosis and the promising usage of expert system for the fault diagnosis is constructed. The aim for building the expert system is to make the testing and maintaining equipment for the supervison working better. This paper introduces a kind of expert system based on function...
The failure knowledge of hydraulic component was expatiated based on the object-oriented method in this paper, and established a failure knowledge database. A fault reasoning strategy was defined, and given a detailed explanation of failure reasoning process, according to characteristics of directed tree and failure knowledge. A fault diagnosis expert system for hydraulic components was developed,...
Fault diagnosis expert system is wide used in the maintenance application fields. And knowledge acquisition is the key technology of expert system development. For the equipment maintenance domain, systems typically require a very long period to acquire knowledge, and knowledge is not necessarily correct. To address this issue, we describe the relationship between rough set theory and rule-based description...
This paper is to propose a fault knowledge acquisition method for metro vehicles fault diagnosis at present, the lack of metro vehicles fault diagnosis knowledge and the difficulty of acquiring the fault diagnosis knowledge hinder the development of fault diagnosis for metro vehicles. On the basis of profounding analysis of the mechanism for the forming of metro vehicle faults, this method is to design...
In network-based manufacturing, an enterprise alliance has the characteristics of informationlization, integration, globalization and variation. These characteristics put forward new requests for the conventional quality control technology. In order to explore the new quality control technology in machining process for enterprise alliance based on PHM, this paper proposes a system architecture composed...
In order to improve the ability of fault prognostic and the efficiency of fault diagnosis for certain AEW (airborne early warning) radar, in this paper, an APSO-LSSVM (adaptive particle swarm optimization- least squares support vector machine) fault prognostic algorithm and a fuzzy reasoning algorithm are presented, and an expert knowledge database is constructed too. Based on the APSO-LSSVM fault...
In this paper, it is united that the ordinary software project method and the object-oriented method. The object-oriented analysis, the object-oriented design and the object-oriented modeling in the intelligent fault diagnosis system with UML is introduced, which decreases the complexity of the intelligent fault diagnosis system that is more manageable. The diagnostic reasoning adopts the technique...
By analysis of the structure and operating principle, a fault diagnosis expert system structure design for electronic control automatic transmission (ECAT) was carried out. The fault set, fault reasons set of ECAT and the mapping relationship between them were established, rule based of the expert system was established, and the reasoning process of a typical fault was analyzed by using forward reasoning...
Transformer fault is the long-term accumulation complex result of transformer itself and its application environment, so the symptoms of transformer fault is also diversified and the connection between fault symptoms and fault mechanism is complex. Lot of work staff members at the scene lacked of knowledge of fault diagnosis, and they can not frequently asked experts in the field, so carrying out...
For the shortcomings of fuzzy rule reasoning method in traditional fault diagnosis expert system, a fuzzy rule matching method based on semantic similarity and bipartite graph is proposed in this paper. Firstly, fault domain knowledge ontology is built by analyzing domain fault knowledge, and then the input fault phenomena set and the property set of rule set antecedent act as the vertex sets of bipartite...
This paper combines neural network with expert system organically,adopts fuzzy membership function to calculate fuzzy relationship matrix to reduce the neural network algorithm's dependence on training data, and on this basis, a newfashioned fuzzy neural expert system of fan is established. The system uses modular design and provides examples of diagnosis. The results show that The system performances...
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