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.
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...
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 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...
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...
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 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...
How to solve the problems of monitoring dynamic and variable quality variation, diagnosing the abnormal variation and adjusting the process quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of process quality control. An intelligent decision support system for process quality control is presented, the corresponding decision support modules (such...
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.
Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between multiple input factors are unknown. In this paper we propose and evaluate the application of a specifically adapted genetic programming framework to optimize the rule base of an expert system. The expert system controls a computer-aided-design...
Scheduling of steelmaking-continuous casting production is an intractable problem, and it is generally difficult to achieve effective scheduling using a single method. In this paper, a novel scheduling method is presented for scheduling the steelmaking and continuous casting production. Combing the mathematical programming and expert system technique, and through the procedures of human-computer interaction...
This paper firstly examines the traditional vehicle styling evaluation methods and issues, and then presents a new approach which uses ANN (artificial neural network) to build an expert system for bus styling evaluation. It describes the key technical issues of quasi-three-dimensional bus styling evaluation expert system from data collection, graphical pre-processing, graphics feature extraction,...
We propose a cost estimation model based on a fuzzy rule back-propagation network (BPN), configuring the rules to estimate the cost under uncertainty. A multiple linear regression analysis is applied to analyze the rules and identify the effective rules for cost estimation. Then, using a dynamic programming approach we determine the optimal path in the manufacturing network. Finally, an application...
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.