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 using object-oriented programming technology establishes a model of inference engine,and proposes a new reasoning method which can improve the reasoning efficiency.The model is used to predict thermal state of blast furnace which achieves good result and greatly improves the reasoning efficiency.
Fracturing sand control is a complex sand prevention method. There are so many influence factors which can not be modeled by the structuring models in both the decision and the operation process. Expert system for the optimization design of the fracturing sand control can simulate the thinking patterns of those experts, collect the computer knowledge and models in the field, apply the fuzzy mathematics...
The absence of standard in black tea assessment was one main obstacle in its quality assurance. This research were contains process of black tea assessment software development, software problem solving concept, and the software evaluation made. This paper was a proof of simple concept that an expert system should automatically find and chose relevant parameters from relationship between raw image...
This research aims to propose a collaborative QFD approach, and to develop a web-based collaborative QFD system. Hence, the proposed system was developed, and an industrial case was chosen to validate the capabilities of the proposed system, which include extraction of advices and comments from cross-field experts, direct connection of the relations between users' needs, and product attributes, elimination...
Every design engineer has an experience of facing common problems of short lead times, clear specification, sufficient design criteria, material costing, environmental regulations, and product reliability constraints. However, for maintaining sustainable growth of a company, a new product should be time-in-market that keeping business growth strategy. Under such environment, it is clear that more...
In the on-line fault diagnosis of auto engineer before factory in FAW, we adopt Bayesian network inference to get diagnosis result. To reduce inference complexity, an improved Bayesian network inference algorithm is presented based on graph search strategy under Martelli standard. Through proof, the complexity of the improved algorithm can reduce from exponential level to polynomial level. In experiment,...
The multi-level parts feature information modeling and process feature information modeling were proposed to realize the integration of CAD / CAPP based on PDM framework, which was built on the analysis for the processing characteristics of shaft parts of printing press. By developing automatic sequencing expert system for the shaft parts of printing press, the dynamic model of manufacturing resource...
This paper outlines the development of a web-based expert system, steel welding materials selection expert system. The expert system inference engine employs all case-based reasoning (CBR), rule-based reasoning (RBR), and k-mean clustering method to generate a hierarchical hybrid recommendation list for cross validation. Moreover, this inference engine was designed to support a hierarchical multi-attribute...
The “black box” problem in neural network is being much concerned, which contributes to more and more researches on the structures of the neural network. Hierarchical neural network (HNN) is one kind of the neural networks that pays attention to the inner structure of network with the presentation of modular parts. In order to reducing the dependence of expert system in HNN, in the paper, a data attributes...
With the rapid development of science and technology, and the improvement of production safety and management standards, the use of expert system to bridge crane operator teaching simulation to train high quality personnel has become a pressing need. But it is hard to evaluate the train result. This paper aims at developing a bridge crane training system based expert system. The system includes some...
Based on the knowledge rule models and the analysis mathematical models, the two-level real-time expert control system (ECS) was established. With the self-learning ability in expert optimal mode, the expert system (ES) was developed to find the calcining zone's optimal temperature value. To optimize the process, the real-time control system (RTCS) was designed to realize the control of the feeding...
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...
This paper describes the methodology and solution to automate and monitor a sewage treatment plant from an industry dedicated to the manufacture of wood panels. The control system designed, not only governs all elements of performance of the plant, but also oversees its proper functioning. It also has a human-machine interface with a daily working and emergency program, accompanied by an information...
This paper explains development of a new mechanized self-assessment model according to principles and requirements of ISO 9004:2000 standard for quality management systems. An expert system has been applied in providing the assessment and scoring questions the experts' knowledge, head auditors of quality management system to design a Mechanized Self Assessment System. The stage of development of this...
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...
Open source tools for Knowledge Representation in databases and the implementation of a real time expert system for mineral processing operations (size reduction and enrichment) are discussed. The use of a column-oriented database system (Infobright IEE) to store quantitative data from sensors that measure feed size distribution, feed rate, aeration rate, pulp density, pH and temperature allows low...
Directing at the complex structure, cockamamie production technology and great operation difficulty of vertical roller mill, this paper constructs the fault expert system to guide and optimize the grinding process. First, the expert database is established with fuzzy cluster analysis, principal component analysis (PCA) and tendency analysis. With support vector machine (SVM) regression, the multiple...
In order to resolve the pouring state recognition problem of continuous casting slag detection system (CC-SDS) and reduce its control delay, a kind of C language integrated production system (CLIPS) based CC slag detection expert system (SDES) was brought forward. Multi-channel real-time vibration signal collection system oriented to slag detection was established, and it could supply stable real-time...
In the networked manufacturing environment, how to monitor dynamic and variable quality fluctuation, diagnose the abnormal variation in real-time and adjust the process at the right moment, becomes a difficult problem for the modern networked manufacturing enterprise in process quality control. In order to overcome this difficulty, This paper presents an intelligent process quality control mode oriented...
This paper introduces the C language-based expert system development platform-CLIPS, discusses the CLIPS expert system as a platform shearer 3LS fault diagnosis tool necessity and its concrete realization, and discusses fault diagnosis expert system of the system structure, tectonic theory, the difficulties and at the same time give the implementation program of system based on fault tree.
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.