Fault Diagnosis Expert System Research Articles

Development of a rule-based diagnostic platform on an object-oriented expert system shell

This paper presents the development and implementation of a real-time rule-based diagnostic platform. The knowledge is acquired from domain experts and textbooks and the design of the fault diagnosis expert system was performed in the following ways: (i) establishing of corresponding classes and instances to build the domain map, (ii) creating of generic fault models based on events, and (iii) building of diagnostic reasoning based on rules.Knowledge representation is a complicated issue of expert systems. One highlight of this paper is that the Multilevel Flow Model has been used to represent the knowledge, which composes the domain map within the expert system as well as providing a concise description of the system.The developed platform is illustrated using the pressure safety system of a pressurized water reactor as an example of the simulation test bed; the platform is developed using the commercial and industrially validated software G2. The emulation test was conducted and it has been proven that the fault diagnosis expert system can identify the faults correctly and in a timely way; this system can be used as a simulation-based training tool to assist operators to make better decisions.

Research on Transformer Fault Based on Probabilistic Neural Network

With the development of computer science and technology, and increasingly intelligent industrial production, the application of big data in industry also advances rapidly, and the development of artificial intelli- gence in the aspect of fault diagnosis is particularly prominent. On the basis of MATLAB platform, this paper constructs a fault diagnosis expert system of artificial intelligence machine based on the probabilistic neural net- work, and it also carries out a simulation of production process by the use of bionic algorithm. This paper makes a diagnosis of transformer fault by the use of an expert system developed by this paper, and verifies that the probabilistic neural network has a good convergence, fault-tolerant ability and big data handling capability in the fault diagnosis. It is suitable for industrial production, which can provide a reliable mathematical model for the construction of fault diagnosis expert system in the industrial production.

Fault Diagnosis Technology Based on Model Driven

Fault diagnosis is an important application of the power grids monitoring system. Under the situation of continuous development of smart grid, it brings new challenges to the fault diagnosis technology. A fault diagnosis expert system based on model driven approach is proposed in this paper. And the corresponding fault modeling technology based on Fault Logic Description Language (FLDL) is described step by step. Practices show that this system could meet the requirements of processing fault alarm information rapidly and reliably by operator.

Expert System of Fault Diagnosis for Flight Simulator Based on Fault Tree Analysis

Aiming at the problems existing in maintenance of flight simulator, considering characteristics of expert system, the architecture and fault diagnosis methods of flight simulator, the structure and key realization technology for flight simulator fault diagnosis expert system are studied; the flight simulator fault diagnosis expert system design proposal is completed. Research on transforming from fault tree pattern to rule and diagnosis knowledge representing are emphasized, expert system knowledge base is constructed by means of frame plus production knowledge representing method, then certainty and rule based backward chaining inference engine with depth-first and heuristic search mechanism is designed, the system diagnosis flow and inferring flow are also developed in this paper. Finally the expert system is tested by a fault solving demonstration.

The Design of an Embedded Intelligent Analyzer for Vehicle Fault Detection

This paper describes the design of an embedded intelligent analyzer for vehicle fault detection based on ARM. Using high performance embedded ARM as the core, taking Linux as the operating system, and with the embedded vehicle fault diagnosis expert system, this analyzer has various bus interfaces. It can be used conveniently for detecting vehicle faults immediately.

The Research of the Grass-Roots Level Radar Equipment Maintenance and Detecting Expert System Model

In view of the grass-roots level radar equipment maintenance and testing difficulty is big, the efficiency is low, limited technical conditions, etc, put forward a kind of intelligent fault diagnosis expert system model suitable for the radar equipment, and focus on the basic structure of the model, knowledge acquisition and the relevant reasoning mechanism. According to the characteristics of the grass-roots level radar fault diagnosis, the system combines automatic test technology and expert system and can improve the efficiency and reliability of fault diagnosis.

Using Cloud Computing and the Internet of Things to Construct Vehicle Condition Fault Diagnosis Platform

Take advantage of cloud computing and the internet of things, combined with the fault diagnosis expert system and knowledge sharing on automobile construction vehicle condition monitoring and fault diagnosis platform, The real-time monitoring of vehicle state in person–cars, cars–cars, enterprises–cars, reliable estimation of vehicle safety problems to improve vehicle driving safety.

Design of Urban-Rural Power Grid Dispatching Fault Diagnosis Expert System

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert systemthe design of knowledge base and fault inference engine.

Graphical Fault Diagnosis Expert System of CNC Machine Tool Based on B/S

Based on the authors previous work of developing an expert system for fault diagnosis of CNC machine tool, this paper studied the theory and method of CNC remote fault diagnosis expert system based on B/S, and presents schema and structure of the expert system in detailed. Case based reasoning is used for the multi-alarm diagnosis, and rule based reasoning is used for single-alarm diagnosis. At last fault diagnosis expert system was designed and developed making use of C# and ASP.NET.

Study on Fault Diagnosis Expert System of Aircraft Power-Supply System

We always regard aircraft power supply system as the "blood system" of aircraft. It plays a very important role in aircraft work. In view of its fault diagnosis present situation and in order to improve fault diagnosis efficiency, we put forward to use expert system development tool CLIPS to build up fault diagnosis expert system. In this paper, we choose the power-supply system of Cirrus SR20 as diagnosis object, and choose CLIPS as development tool to build up knowledge base and inference engine. By using Eclips development platform to write interface programs and using CLIPS JNI to call CLIPS programs we successfully complete the expert system total performance including knowledge base, inference engine and interface.

Design and Implementation of Power Grid Dispatching Fault Diagnosis Knowledge Base

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert system—the design of knowledge base and fault inference engine.

Research on the Application of Generated Controlling System Base on OPC Rules

The technology of real-time data access and the data management of real-time data technology in generated controlling system base on OPC rules is analyzed in this study. Aiming at the plant of certain generated controlling system, a set of software is developed based on OPC technology, which includes OPC client program, data acquisition program, data preprocessing program, advanced control program based on soft-sensing technology, real-time fault diagnosis expert system. The software has laid the good foundation for making full use of the greatly integrated control function of DCS. The result shows that the OPC rules can get well used in the generated controlling system.

Fault Diagnosis Expert System of Turbine Generator Sets Based on Rule Reasoning and Case Reasoning

A synthetic fault diagnosis expert system for turbine generator sets based on rule based reasoning and cases based reasoning is built in this paper. The structure of synthetic fault diagnosis expert system is discussed. The rule base and case base for the fault diagnosis of expert system is established based on the domain expert knowledge and relevant fault cases of turbine generator sets. Both the inference flow and case retrieval strategy of diagnosis system are discussed in detail. Finally the expert system is verified by a given application example.

The Design of Remote Monitoring System and Diagnosing System in Natural Gas Compressor

The frame structure of monitoring system is introduced and the network structure of monitoring system is analyzed in this paper. Fault diagnosis expert system is put forward and the fault inference rules are elaborated according to the fault of natural gas compressor of a company. The significance of the system is summarized in the end.

Research on Expert System for Fault Diagnosis of Subsea Blowout Preventer

An expert system for fault diagnosis of subsea blowout preventer (BOP) has been developed. According to the expert knowledge, common faults could be diagnosed and the system will be enlarged with the increasing knowledge. Fault tree analysis method is used to extract the fault diagnosis information. By this way, the layers of faults and the logical relationship among them can be shown clearly. Production rules are employed to represent the knowledge extracted from layers of fault trees. It’s convenient and easy to understand that the knowledge is connected together through its logic. The developed interfaces are friendly and easy to operate and the users can learn to use the system according to the one by one prompt and query the failure causes easily.

An intelligent fault diagnosis system for newly assembled transmission

Newly assembled automobile transmission has its particular failure characteristic, strict quality testing working procedure on the assembly line is important for quality of automobile transmission. In this paper, we introduce a new automatic fault detection method for automobile transmission. A fault diagnosis expert system for newly assembled transmission is presented, related method of knowledge representation, feature extraction and fault classification is given. Order spectrum analysis method is used to analyze vibratory signal of automobile transmission. After initial feature vectors set are obtained, improved genetic search strategy is used to select fault features, so as to reduce the dimension of feature vector set. Selected feature vector sets are inputted into the BP neural network for fault identification and classification of the newly assembled automobile transmission. A large number of data are collected from industrial site and analyzed, proposed algorithm is verified to be effective and exact.

Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board

With the acceptance of artificial intelligence paradigm, a number of successful artificial intelligence systems were created. Fault diagnosis in microprocessor based boards needs lot of empirical knowledge and expertise and is a true artificial intelligence problem. Research on fault diagnosis in microprocessor based system boards using new fuzzy-object oriented approach is presented in this paper. There are many uncertain situations observed during fault diagnosis. These uncertain situations were handled using fuzzy mathematics properties. Fuzzy inference mechanism is demonstrated using one case study. Some typical faults in 8085 microprocessor board and diagnostic procedures used is presented in this paper.

Research on Real-Time Monitoring and Data Management of Hydraulic Test System Based on LabVIEW

For real-time data management needs of multiple components, sets and workshops hydraulic experimental platforms, a new distributed system of real-time monitoring and data management based on LabVIEW was developed, by solving following key technologies: hydraulic data real-time monitoring and acquisition at remote distance, data management and reappearance, fault diagnosis expert system in test process. Through the experiment, monitoring in real-time and the operability of data management are confirmed.

Research on neural network fault diagnosis expert system of nuclear power system

Research on neural network fault diagnosis expert system of nuclear power system

Intelligent Remote Monitoring and Fault Diagnosis of Engineering Machinery System Design

Remote monitoring and fault diagnosis system is an important part of intelligent construction machinery, on the basis of the original remote fault diagnosis system, we will explore and put forward a fleet of intelligent engineering machinery general structure model. Based on this, we will advance the overall design scheme of remote fault diagnosis expert system and solve the problems of engineering machinery remote fault analysis and diagnose the problem