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Colored fibers can be blended in a certain proportion to achieve a specific color. It is a very hard task for the colorist to find a good recipe to meet the final product without the aid of computer. In this paper, a color matching method for the colored fiber blends is discussed to substitute some manual work. The fuzzy C-mean cluster way is carried to group the color in the colored fiber blends...
Wood defects influence on wood production quality. Image Processing of wood defects is important for wood defects detection. X-ray was adopted as a measure method for wood nondestructive testing. Because it not only can detect wood seeming defects, but also can detect inner defects. The collected images with defects were done median filter processing and edge detection so that the position, size and...
Based on the requirements of egg quality check, this paper offers several methods for egg quality check using acoustic properties, optical properties and electrical characteristics. It can detect eggs on volume, weight, empty, crack and metamorphism, etc. So the eggs can be classified by quality.
In this paper, an architecture using process inference for process planning in manufacturing process has been developed. This architecture is built based on a knowledge base, a resource database and an automatic reasoning kernel. In the automatic reasoning kernel, the generation process of process plan is analyzed and relevant reasoning rules, as well as reasoning engines are defined based on corresponding...
In order to improve the performance of linear rolling guide on different machining condition, a guide performance degradation model based on dynamic fuzzy neural network (DFNN) was proposed to predict guide life after considering a variety of factors to guide's motion precision and wear status in this paper. The vibration signals from linear rolling guide were processed by time domain analysis and...
In order to enhance the reuse of product design knowledge, a design knowledge management framework is proposed, which consists of three functional parts: design knowledge acquisition, knowledge modeling, and design knowledge retrieval. A method for design knowledge modeling based on ontology is studied, which includes design knowledge ontology definition, design knowledge base building, and a multi-views...
Modern product development needs a large number of knowledge contained at all stages of product life cycle. In order to deal with the discrete, heterogeneous expression, scenario dependence of various types of product knowledge, a context-driven knowledge-sharing approach is presented, covering product knowledge modeling, describing and organizing. Through building product knowledge context model,...
In this paper, a novel approach based on rough set theory and a pair wise comparison table for reduction and ordering of basic events in fault tree is proposed. The details of the approach, together with the basic concepts of rough set theory, are presented. A case study is used to illustrate the application of the proposed approach. Results show that a reasonable ordering of basic events in a fault...
The purpose of this paper is to present systemic unexpected users' needs discovery (UUND) methods based on semantic networks (SN). Based on the nature of unexpected user's needs and SN, combining with hierarchical semantic network model, feature comparison model of semantic memory and spreading activation theory of semantic network, this paper outlined and formalized the basic semantic network unit...
Rapid and automatic growth of organisms is so fascinating and becomes one of the reasons why comes the idea of Growth Design. Similar relations between organism and product are proposed firstly so that Growth Design is introduced. Finally, an example of the distribution of rescue appliances on Growth Design is introduced.
According to the actual requirements of the drilling data warehouse, this paper analyses the weaknesses of traditional Extract, Transform and Load (ETL) tools' architecture of its openness and repeatedly development, and proposed a three-layers-architecture based on metadata. That makes ETL process more efficient, multipurpose and flexible. Through intensive studies of ETL theory, the drilling data...
This paper proposes a web-based On Line Analyse Process (OLAP) structure due to the weaknesses of OLAP system within the conventional Client/Server(C/S) structure. Studied with actual examples, a multidimensional model of web-based OLAP drilling analysis system has been designed, by applying the methods of link between Office Web Components and analysis server, various OLAP analysis operation through...
Case-based reasoning (CBR) is a method to solve problems with the previous experience, and has achieved great success in many fields in recent years. In order to realize the scientification, intellectualization and modernization of drilling by making full use of the existing drilling information, the paper discusses the problems in the drilling parameter optimization based on CBR. The article introduces...
By the combination of feature and concept hierarchy model and the definition of innovation about concept, the method of structured processing and knowledge hierarchical representation for injection mould repair schemes is put forward under the condition of non-fuzzy or fuzzy data. Rule sets can be provided by knowledge induction for injection mould repairs based on basic rough set, but the rule sets...
The injection mould repair projects are viewed as very important knowledge in many mould manufacturers. With the increase of injection mould repair projects, knowledge induction of mould repair becomes the key to using knowledge effectively in making injection mould repair projects. Using the fuzzy rules induction to induce the injection mould repair rules and help the technician establishing the...
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