Fault Diagnosis Expert System Research Articles

Fault diagnosis expert system of semiconductor manufacturing equipment using a Bayesian network

It is well known that fault diagnosis is very important to improve the availability of semiconductor manufacturing equipment. But how to acquire, represent and reason the diagnosis and maintenance knowledge is the key of a fault diagnosis expert system. According to the features of the knowledge source, production rule was chosen as the knowledge representing method. And Bayesian network (BN) with improved causal relationship questionnaire and probability scale methods was proposed as inference machine to diagnose the possible root causes, corresponding probabilities and suggested solutions. Based on above methods, a fault diagnosis expert system was proposed, whose overall structure and key technologies, including knowledge acquisition, representation and inference methods were presented in detail. Furthermore, this expert system was designed by using Unified Modelling Language (UML) method and developed with MS VS.NET and SQL Server 2000. Two cases in a chipset assembly and test factory showed the inferring process by BN and validated the inferring result of the expert system, which proves it accurate and believable.

Spacecraft Fault Diagnosis Based on Telemetry Data Mining and Fault Tree Analysis and Design of Expert System

In this paper, a fault diagnosis method for spacecraft based on telemetry data mining and fault tree analysis was proposed. Decision trees are constructed from the history telemetry data of the spacecraft, and are used to classify the current data which is unknown whether it is fault. If there is a fault, the fault tree method will be used to analyze the fault reason and the impact on the spacecraft system. This method can effectively solve the problem of diagnostic knowledge acquisition. We design and construct a fault diagnosis expert system for spacecraft based on this diagnosis method. An experiment is presented to prove the effectiveness and practicality of the expert system.

The Preliminary Study for the Fault Diagnosis of EMU Based on Expert System

Abstract. The expert system that based on knowledge base of association rule and to discuss fault diagnosis expert system for the application of fault diagnosis in the Electrical Multiple Unit (EMU) was described. Through the analysis of failure data of EMU operation group to find out the potential relationship between the state data and fault data from a large number of operation and maintenance history data of EMU. This kind of relationship was stored in the knowledge base. Fault diagnosis expert system model is established, which based on the fault intelligent diagnosis expert of EMU. It can achieve dynamic fault diagnosis of the EMU in the process of running and ensure its safe operation.

A Radar Fault Diagnosis Expert System Based on Improved CBR

The emergence of a new generation of weather radar increases the complexity of radar control system and the difficulty of troubleshooting, In order to ensure the reliability and maintenance performance of weather radar systems, This paper describes weather radar intelligent fault diagnostic expert system based on improved Case - based Reasoning (CBR) according to the author's many years of experience in radar maintenance. The radar fault diagnosis principle, fault diagnosis method based on similar distance function and how to join the hardware replacement adjustment parameter database are firstly described. Focusing CINRAD / CC radar antenna servo system hardware characteristics, the CBR method of motor drive and failure in radar servo system and the experts mentoring program of parameter detection and setting after hardware replacement are introduced in detail. Three CINRAD / CC radar fault diagnosis cases show the effectiveness and practicality of the fault diagnosis expert system.

Application of Artificial Intelligence in Intelligent Buildings

This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.

Fault Diagnosis Expert System Applied on Machinery Industry

This paper introduced the fault diagnosis technology and analyzed the shortcomings of traditional fault diagnosis method. Then simply introduced the intelligence fault diagnosis expert system. At last respectively introduced the design idea of three intelligence fault diagnosis expert systems, they respectively is used in rotating machine, mechanical maintenance and hydraulic system. At the same time the key technologies of each intelligence fault diagnosis expert system was respectively introduced.

Application of Classified Hierarchical Model to Fault Diagnosis of Electrical System

The expert system for fault diagnosis based on classified hierarchical model is addressed so as to improve the maintenance capability of engineering vehicles under complex battle environment. The analysis of fault feature, fault pattern and failure mechanism of the whole machine and its electrical system is accomplished. Furthermore, the structure of classified hierarchical diagnosis model and method of knowledge representation are implemented so that the knowledge base of the fault diagnosis system can be developed. The forward reasoning mechanism of the fault diagnosis expert system is bring forward based on neural network intelligent reasoning that can achieve fuzzy input and multiple fault diagnosis. This work effectively increases the fault maintenance, diagnosis and support capabilities of the military troops.

Electronic Equipment Fault Diagnosis Expert System Based on PDA/HPC

In order to develope and research fault diagnosis platform of one electronic equipment, this paper mainly expound the equipment fault diagnosis system based on PDA/HPC structure and function as well as the development platform technology, introduce database management system structure and realization based on PDA/HPC. The successfully developed exepert system is of great significance to improve repair guarantee ability of the electronic equipment and its technical realization and application has model significance and reference value.

Research on Electronic Equipment Fault Diagnosis Expert System Based on Embedded Linux

This paper elaborate one circuit fault diagnosis method about electronic equipment circuit detection combined with expert system on ARM9 and embedded Linux platform and design CLIPS expert system using DSP combined with CPLD data acquisition, making full use of DSP high for-speed data processing capability and then passing the data to the Embedded Linux system operation. Expert system implemente a real-time fault diagnosis according to the the predefined fault diagnosis Knowledge. Compared with traditional testing equipment, the expert system has the advantage of knowledge updating conveniently, high fault diagnosis accuracy rate, etc.

Research and Implementation of Vehicle Fault Diagnosis Expert System

In order to solve the complexity and difficulty of detection and analysis for vehicle faults, a vehicle fault diagnosis expert system based on fault tree analysis method was designed. On the basis of analyzing the reasons of vehicle malfunction and basic measures of fault diagnosis, the composition and structure of diagnosis expert system were brought out. The methods of knowledge acquisition, knowledge representation and reasoning mechanism were studied emphatically. Making the fault diagnosis of vehicle brake lights as an example, the expert system was implemented. The practical operation showed that the reasoning result corresponded to the actual situation, diagnosis result was correct, and the expected effect was achieved. The designed expert system can effectively diagnose vehicle breakdowns and help users to exclude faults and maintain vehicles.

Design of Fault Diagnosis Expert System of Transformer

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

Fault Diagnosis Expert System for Electric Power System of the Large-Scale UAVs Based on Virtual Instrument

In this paper, a test system hardware platform based on PXI bus system is proposed to test the airborne power system and typical power distribution structure of large-scale Unmanned aerial vehicles (UAV). By researching system structure, analyzing failure mode and designing fault tree, fault diagnosis expert system is designed to test the airborne power system in large-scale UAVs, where a forward reasoning expert knowledge base based on extension rule is built to solve the non-exact inference in complex system via introducing certainty factor. The experiments illustrate that the proposed system can effectively improve the intelligent level of test system and has good application prospects.

Study on Quality Management of Logistics Equipment Systems

The research and manufacture of the military logistics equipment systems always brings problems in quality management for its complexity and particularity. To solve these problems, a analysis on equipment quality management is conducted. A comprehensive study on reliability, fault diagnosis, and risk analysis models are also performed. The reliability analysis of the system is fulfilled using a method of combined fuzzy inference and network analysis. This method solves the limitations of the traditional network analysis method, of which the result is defined for every failure mode. The abnormality of parameters corresponds to faults in the system, which can be used to establish a knowledge database and a fault diagnosis expert system. A quantitative risk assessment model is set up using a fuzzy comprehensive evaluation method and an incident loss comprehensive evaluation theory. Finally, the above method and model are examined for new trailer mounted equipment. The results validate the proposed method

Study on Fault Diagnosis of Circuit-breaker Based on Rough-Set Theory

High voltage circuit-breaker is an important equipment in electric system. The study on fault diagnosis of high voltage circuit-breaker would not only strengthens the security and stability of power system but also increases the economic benefit of it. Obtaining the diagnosis rules is the hardest part in building fault diagnosis expert system. This article analyses the fault samples data of high voltage circuit-breaker by rough set theory, and get diagnosis rules from it. The case shows the method is practical and feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1899

基于二叉树的某型装备综合电子系统故障诊断专家系统设计

在分析专家系统发展及其在电子系统故障诊断中应用状况的基础上，针对当前装甲装备电子系统故障诊断中先进的故障诊断方法难以及时应用，故障特征数据不便于有效积累，故障诊断软件层次性不够明确，系统性、通用性、扩展性不强等问题，以某型装备综合电子系统为对象，将系统级故障知识、故障数据按照故障二叉树结构进行融合处理，在基于规则的专家库框架结构下，进行了知识库和推理机设计，构建了相应的故障诊断专家系统。 Based on the analysis of expert system development and its application in fault diagnosis of electronic sys- tems, in view of some problems that advanced fault diagnosis methods are difficult to timely apply for current electronic system fault diagnosis of armored equipments, fault characteristic data can not be effectively accumulated, fault diagnosis software hierarchy is not clear and the systematicness, commonality, expansibility are weak, etc., taking inte- grated electronic system of a certain type of equipment as the object, the knowledge base and inference engine are designed, and the corresponding fault diagnosis expert system is constructed with the system-level fault knowledge and the fault data combined according to fault binary tree structure.

Study on Fuzzy Inference Method for Fault Diagnosis Expert System

In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by lexical analysis including removing redundant vocabulary and word segmentation. Secondly, for the purpose of improving the precision of the inference, we used the membership degree, and defined the confidence level of antecedent and the confidence level of conclusion and the closeness degree of the knowledge base rules. Finally we gave the reasoning processes and algorithms.

Development of Integrated Testing Instrument for Mechatronic System

In order to improve the effectiveness of fault diagnosis for mechatronic system, new integrated testing instrument was developed. The testing instrument was integrated with experience, detected data and complex technical principles. The structure of the integrated testing instrument was introduced. The system is divided into fault diagnosis expert system and signal processing device. Fault diagnosis expert system software is to complete the human-computer interaction, testing process control, test result analysis processing, output display and fault diagnosis. Signal processing instrument includes test signal acquisition, signal conditioning, data acquisition, and data communication. Experiments show that the instrument can find the fault efficiently and improve the maintenance efficiency of a certain type of mechatronic system.

The Remote Monitoring and Fault Diagnosis System of Coal Mine Main Fan

In order to ensure the safety and stability of coal mine main fan’s operation, the system uses programmable controller PLC as the control core, uses integrated transmitter, the man-machine interface touch screen and PC configuration software, achieving real-time monitoring and state control of the main fan’s performance, state parameter, electrical parameter, and uses PowerBuilder 9.0 system development software to build the fan’s fault diagnosis expert system, realizing the comprehensive fault diagnosis of the fan, providing accurate expert advice and repair scheme. It uses advanced Ethernet technology to realize the communication between PC and scene control system. The realization of the main fan’s automation management ensures the stability and reliability of the fan’s running.

Study of Mine Air Compressors’ Remote Monitoring and Fault Diagnosis Expert System

In order to improve the degree of automation of the mine air compressor system, To achieve the remote monitoring and real-time fault diagnosis of the mining air compressors, using Siemens PLC as the data acquisition hardware platform, the host computer using the software of the Kingview and Power Builder9.0 construct the air compressors remote monitoring and fault diagnosis expert system platform, To achieve the remote air compressors parameters real-time acquisition, display, fault diagnosis, as well as remote start and stop the air compressors ,loading and unloading control, while the air compressors room remote real-time monitoring, ensure the security and stability of the air compressors system.

Fault Diagnosis Expert System for Special Electronic Equipment Based on the Fuzzy Neural Network

In order to improve the efficiency and reliability of fault diagnosis for the special electronic equipment, an intelligent fault diagnostic model based on Fuzzy Neural Network (FNN) is proposed. Firstly, the fault diagnosis model based on the FNN Expert System (ES) is built. Secondly, the fault diagnosis expert system of the special electronic equipment based on this model is introduced. Finally, experiments show that the proposed model is correct and the FD system is effective. Moreover, the given method provides a new way of fault diagnosis for other modern electronic system.