The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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,...
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 recent times, the introduction of complex-valued neural networks (CVNN) has widened the scope and applications of real-valued neural network (RVNN) and parametric modeling techniques. In this paper, new expert systems for automatic diagnosis and classification of diabetes using CVNN and RVNN based parametric modeling approaches have been suggested. Application of complex data normalization technique...
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...
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...
Past application systems, including expert systems, were unable to meet the requirement of reusability. Web services wipe out the barriers in system development and help system developers effectively meet user requirements. This study incorporates web services with expert systems built for wireless LAN (WLAN) problems to turn the WLAN problem diagnosis expert systems into a service component structured...
This study converts the professional knowledge in WLAN problem diagnosis to the rules in the knowledge base and turns the inference engine, explanation subsystem and knowledge base of the entire expert system into service components through web services. In this manner, external systems can transmit diagnosis requests via HTTP to the WLAN problem diagnosis expert system and obtain results from it.
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,...
Because of the wide existence of uncertainty evidence in the process of cow disease diagnosis, we established an uncertainty illation model-evidence-weighted uncertainty reasoning model, which is able to deal with the uncertainty. Also, we gave the representation of the uncertainty evidence, the algorithm of transmission, and an illustration of the application of this cow disease diagnosis. This model...
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...
Knowledge representation is the necessary process to build an autonomous fault diagnosis expert system for satellites. In order to enhance the knowledge representation ability of time-related rules and r-of-n rules, an improved fault Petri net model for knowledge representation is proposed on the basis theory of fault Petri net model. The alarming threshold function and the fire threshold function...
In order to solve the bottleneck problem of building an expert system, a knowledge acquisition model of fault diagnosis expert system for satellites was presented. Firstly, a data discretization algorithm based on fuzzy sets was put forward to do discretization work for decision table. Secondly, a rule extraction algorithm was brought forth to extract productive rules from decision table. Thirdly,...
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...
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...
A pulmonary disease management system with on-body and near-body sensors is introduced in this presentation. The system is wearable for continuous ambulatory monitoring. Distributed sensor data is transferred through a wireless body area network (BAN) to a central controller for real time analysis. Physiological and environmental parameters are monitored and analyzed using prevailing clinical guidelines...
Expert or knowledge-based systems are the most common type of AIM (artificial intelligence in medicine) system in routine clinical use. They contain medical knowledge, usually about a very specifically defined task, and are able to reason with data from individual patients to come up with reasoned conclusions. Although there are many variations, the knowledge within an expert system is typically represented...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.