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The paper studied and constructed an expert system for vibration fault diagnosis in large steam turbine generator set, and briefly described the structure and function of various components of the expert system, detailed described the knowledge database and inference machine. In this expert system, the knowledge database built on production rule, and the inference machine based on confidence. Finally,...
Presently audiological investigations are done in a speciality hospital and the test results are analyzed and diagnosed by the audiologists. However, the fact remains that most of us do not undergo regular checking for hearing due to the reasons of inconvenient timing and ease of accessibility. The object of this work is to design and develop a computerized audiometer, which could be effectively used...
Feature extraction and classification of electroencephalogram (EEGs) signals for (normal and epileptic) is a challenge for engineers and scientists. Various signal processing techniques have already been proposed for classification of non-linear and non- stationary signals like EEG. In this work, SVM (support vector machine) based classifier was employed to detect epileptic seizure activity from background...
Current estimates show that there are about 40,000 bridges in Australia, of which 27,000 are aging timber bridges. Maintaining existing timber bridges is important to eliminate possibilities of structural collapse which can have catastrophic outcomes to the community. Aging timber bridges have a high maintenance cost. Relating different types of defects to possible underlying causes make deterioration...
In order to realize fast location and detection of abnormal status during running of industrial furnace, especially abnormal status of firing, this article studies and designs a fault diagnosis expert system based on fault tree theory. Firstly, formalized definition of industrial furnace fault diagnosis expert system is given in the paper, then all component elements of the expert system are analyzed...
As the important part of artificial intelligence, knowledge based expert systems are widely used in medical service. Since expert systems are only used as a tool of diagnosis, we try to work out the system which integrates diagnosis, healthy life guidance, dietetic & nutritional advice and health education. We start to do research in maternity diagnosis. This paper introduces the structure, work...
Combining the characteristics of drilling rig fault, a solution of fault diagnosis expert system based on artificial neural network is proposeed. The fault diagnosis system is designed for HT-60 drilling rig, which acquires knowledge by neural network and diagnoses by expert system. The system with characteristics of self-learning and self-adaptive can acquire knowledge from existing data in order...
This paper applies the fuzzy reasoning into the process of the forestry pests and diseases's diagnosis. Firstly, it introduces the fuzzy reasoning and the expert system, and then a new design method is proposed, which can carries on the objective quantitative analysis and effective processing to each kind of indefinite information. At last this method is taken into application and The practice indicates...
This paper describes the evolution of an especially designed sub sea Remotely Operated Vehicle (ROV) with dedicated electromagnetic flux leakage searching arm as a part of associated intelligent Non Destructive Testing arrangement, which is intended for inspecting the outer surface of large ship hull and floating production storage offloading (FPSO) platforms with complex shaped structures. Current...
The paper presents a platform, which offers to the possibilities to connect remotely via Internet to an industrial process in order to monitor, diagnose and control it remotely. In this way, several expensive resources like experts and powerful computers that simulate the complex processes from the customer site can be shared at distance through Internet in order to optimize the costs and to increase...
Beginning with the simple introduction of method and current situation about heavy machine and its fault diagnosis, this paper puts forward the method of fault diagnosis based on mixed expert system, which uses the rules and cases. The architecture and diagnosis flow of the system are both constructed. Then the knowledge base of heavy machine's fault diagnosis and inference engine are mainly set up,...
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,...
The method of knowledge processing and the basic question in an intelligent diagnosis system for Hydraulic AGC fault system are presented. The knowledge range of Hydraulic AGC system diagnosed is classified by the object-oriented approach. Finally, the approach to obtaining fault knowledge on Hydraulic AGC system is presented. It provides some foundation for establishment of intelligent fault diagnosis...
Diagnosis of hydrocephalus symptoms and shunting system faults currently are based on clinical observation, monitoring of cranial growth, transfontanelle pressure, imaging techniques and, on occasion, studies of cerebrospinal fluid (CSF) dynamics. Up to date, the patient has to visit the hospital or meet consultant to diagnose the symptoms that occur due to rising of intracranial pressure or any shunt...
Based on Internet and using artificial intelligence techniques to guild remote fault diagnosis expert system can provide expert-level fault diagnosis service for remote devices. Based on the introduction of general structure and related key techniques of fault diagnosis system, the expert system was introduced into fault diagnosis system in this paper. The architecture of an open fault diagnosis expert...
Based on Internet and using artificial intelligence techniques to guild remote fault diagnosis expert system can provide expert-level fault diagnosis service for remote devices. Based on the introduction of general structure and related key techniques of fault diagnosis system, the expert system was introduced into fault diagnosis system in this paper. The architecture of an open fault diagnosis expert...
Developed prototype of network based clinical decision support system consists of database of clinical data and web-based applications for signal and image analysis methods and algorithms. The methods for eye fundus image analysis and ECG P-wave morphology evaluation are the first methods covering two clinical specialties - cardiology and ophthalmology in the system. Network based database and combined...
Based on Internet and using artificial intelligence techniques to guild remote fault diagnosis expert system can provide expert-level fault diagnosis service for remote devices. Based on the introduction of general structure and related key techniques of fault diagnosis system, the expert system was introduced into fault diagnosis system in this paper. The architecture of an open fault diagnosis expert...
To fulfill the complexity of agriculture disease problem, fuzzy reasoning method is presented in agriculture disease diagnosis expert system; both positive and negative effects of disease symptoms on diagnosis results have been considered; weighed Euclidean distance method is introduced to calculate the comparability; effective diagnosis results and reliabilities are given out. Finally, a case study...
This paper introduces a new method to design expert system reasoning with CPLD for fault diagnosis. Firstly, the reasoning process of normal expert system is analyzed; Secondly, the knowledge and experiences of experts are transformed to binary or multi-valued reasoning using fault tree, and the processes are realized with simple gate circuits; lastly, the new scheme is used in fault diagnosis for...
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