Research on Reliability Design Theory and Methods of CNC System

2009 ◽  
Author(s):  
Taiyong Wang ◽  
Qingjian Liu ◽  
Yunfeng Wang ◽  
Jianhai Yue ◽  
Dafeng Jin
Keyword(s):  
Design Theory ◽  
Evaluation Method ◽  
Fuzzy Mathematics ◽  
Reliability Model ◽  
Cnc System ◽  
Reliability Design ◽  
Structure Reliability ◽  
Embedded Computer ◽  
Computer Numerically Controlled ◽  
Function Module

This paper presents the methods on the structure reliability design of embedded computer numerically controlled (CNC) system. An effective reliability model is developed and tested in a real-time CNC system. The evaluation method for the importance of the reliability of each function module of CNC systems is also investigated. Fuzzy mathematics is used to judge the importance of module reliability design. Cases studies have been performed to validate and illustrate all the analysis.

scholarly journals Reliability evaluation for colliery machine based on fuzzy interval model

2021 ◽  
Vol 69 (5) ◽  
pp. 149
Author(s):  
Li Yang ◽  
Chuang Chen
Keyword(s):  
Evaluation System ◽  
Design Theory ◽  
Optimization Design ◽  
Evaluation Method ◽  
Design Method ◽  
Reliability Evaluation ◽  
Fuzzy Evaluation ◽  
Mechanical Reliability ◽  
Interval Model ◽  
Reliability Design

The mechanical reliability design method is a common method, and it is the most direct and effective method to carry out the mechanical reliability design at present. The reliability optimization design is an effective optimization design method which is developed in combination with the reliability design theory on the basis of the conventional optimization design. Taking the antifriction bearing as an example, this paper systematically expounds all kinds of mechanical reliability design methods. Through comprehensive analysis of various factors that affect the reliability of colliery machine, the index system of colliery machine reliability evaluation is established. Because of the complexity and diversity of the use of colliery machine in the evaluation system, and the fuzziness of human thinking, it is difficult to give the deterministic evaluation information in numerical form, so this paper also analyzes the design method of colliery mechanical reliability, and puts forward an interval fuzzy evaluation method for colliery mechanical reliability evaluation to avoid overload operation of colliery machine and ensure safety production and safety of workers. The simulation results show that the inherent law of reliability is effectively characterized by this method, and it provides a evidence for security produce and scientific decision-making of colliery mechine.

scholarly journals Gradual Reliability Sensitivity Analysis of Mechanical Part Considering Preventive Maintenance

2014 ◽  
Vol 6 ◽  
pp. 829850
Author(s):  
Li Changyou ◽  
Liu Haiyang ◽  
Guo Song ◽  
Zhang Yimin ◽  
Li Zhenyuan
Keyword(s):  
Mechanical System ◽  
Preventive Maintenance ◽  
Gamma Process ◽  
Reliability Model ◽  
Application Process ◽  
Initial State ◽  
Reliability Design ◽  
Mechanical Part ◽  
Safety And Reliability ◽  
Deterioration Process

A lot of mechanical parts are subject to failure due to the deterioration. Usually the preventive maintenance is taken to ensure the safety and reliability. Therefore, it is very important to study the gradual reliability design of the mechanical part for improving the gradual reliability of the mechanical system under the condition of considering the preventive maintenance. Beta distribution is employed to describe the randomness of the mechanical part state after the preventive maintenance. The deterioration process of the mechanical part is modeled using the nonstationary Gamma process. The gradual reliability model before the first preventive maintenance is proposed according to the gradual failure principle and using the initial state distribution and the properties of Gamma process. Then, the gradual reliability model between any two times of preventive maintenance is also derived. Subsequently, the sensitivity equations of the proposed gradual reliability model to each parameter are given. The application process and practicality of the proposed approach are described by a numerical example. This work solved the problem where the maintenance has not been well considered in the reliability design of the mechanical part and contributed to the theory and method of improving the safety and reliability operation of the mechanical system.

The Application of Fuzzy Synthesis Evaluation Method on Assessing Bridge Durability

2012 ◽  
Vol 594-597 ◽  
pp. 1033-1037
Author(s):  
Fei Zheng ◽  
Yu Wang ◽  
Pu Yang Zhang
Keyword(s):  
Evaluation Method ◽  
Concrete Bridges ◽  
Service Performance ◽  
Fuzzy Mathematics ◽  
Factors Affecting ◽  
Index Model ◽  
Design Requirements ◽  
The Difference ◽  
Fuzzy Synthesis Evaluation ◽  
Durability Of Concrete

Assessment of the structure durability of concrete bridge in service is crucial for determining whether their service performance is meeting the design requirements or not. In this paper we classify the whole structure of bridge into two levels, i.e.bridge structure and bridge components. A two-level-multi-index model for evaluating the durability of concrete bridges in service is established based on the dependent functions of various factors, in which the dependent functions are chosen in accordance with the difference of various factors affecting the deterioration of durability of components. In this model, the durability of the bridge is divided into five different fuzzy levels: intact, disrepaired, damaged, severely damaged, and dangerous. Finally, based on fuzzy mathematics theory, the durability level of a bridge in practice is evaluated by using the maximum subordination principle.

scholarly journals Developing a Reliability Model of CNC System under Limited Sample Data Based on Multisource Information Fusion

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Chong Peng ◽  
Yuzhen Cai ◽  
Guangpeng Liu ◽  
T. W. Liao
Keyword(s):  
Information Fusion ◽  
Field Observation ◽  
Prior Information ◽  
Small Sample ◽  
Numerical Control ◽  
Observation Data ◽  
Reliability Model ◽  
Cnc System ◽  
Reliability Models ◽  
Field Observation Data

The reliability of the computer numerical control (CNC) system affects its processing performance and is a major concern in the manufacturing industry today. However, existing reliability models to assess the reliability of the CNC system often exhibit relatively large errors due to inadequate treatment of small samples. In order to get around the constraint of limited lifetime failure data and take full advantage of existing reliability parameters in traditional reliability models, a multisource information fusion-based reliability model grounded on Bayesian inference is proposed to deal with the small sample size. The prior distributions are derived by using the probability encoding method and conjugate distribution based on the idea of multisource information fusion. Then, using the Jensen–Shannon divergence (JSD) to measure the similarity between prior information and field observation data, a constrained optimization problem is established to determine the respective weight of prior information and field observation data. Finally, by conducting the reliability analysis of repairable CNC systems, the validity of the proposed model and its prior distribution derivation method are verified.

scholarly journals Routing Algorithm of Wireless Sensor Network and Robustness Analysis Based on Fuzzy Mathematics

2017 ◽  
Vol 13 (12) ◽  
pp. 85 ◽  
Author(s):  
Ying Xiang ◽  
Miaochao Chen ◽  
Xiaohong Zhuang ◽  
Xiaoxing Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Routing Algorithm ◽  
Robustness Analysis ◽  
Fuzzy Comprehensive Evaluation ◽  
Wireless Sensor ◽  
Fuzzy Mathematics ◽  
Comprehensive Evaluation Method

<p style="margin: 1em 0px;"><span lang="EN-GB"><span style="font-family: Times New Roman; font-size: medium;">In order to reduce the energy consumption and enhance the robustness of wireless sensor network (WSN), this paper proposes a hierarchical clustering routing algorithm based on fuzzy mathematics (HCRAFM). To make a comprehensive analysis of WSN, it is also necessary to detect the robustness of the network. Facing the multiple random variables, the traditional robustness detection models assume that all nodes have the same weight, making it impossible to quantify the analysis indices or obtain accurate results. Thus, the fuzzy mathematics theory was introduced to the WSN robustness detection, forming a fuzzy comprehensive evaluation method. The simulation results show that the HCRAFM strikes a load balance between WSN nodes, extends the life cycle of each node, and prolongs the service life of the network. In addition, the proposed algorithm is proved to have sound robustness and strong applicability.</span></span></p>

Evaluation Method for Conceptual Design Scheme Based on Fuzzy Mathematics

2012 ◽  
Vol 591-593 ◽  
pp. 25-29
Author(s):  
Peng Fei Tian ◽  
Shi Yan ◽  
Bi Ru Li
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
New Product Development ◽  
Evaluation Method ◽  
Design Stage ◽  
Fuzzy Mathematics ◽  
Qualitative Information ◽  
Design Scheme ◽  
The Impact ◽  
Mathematics Method

Selecting the favorable conceptual design scheme is the first step to make a new product development (NPD) successfully. To guarantee reliability and rationality of decision-making about multiple design schemes in conceptual design stage under the impact of uncertainties and qualitative information, we have employed KJ method to cluster the evaluation factors into 5 clusters such as emotion, ergonomics, aesthetics, core technology, and impact; and fuzzy mathematics method to deal with uncertainties and qualitative information effectively. The weights of evaluation factors were calculated by analytical hierarchy process (AHP). Fuzzy mathematics method is the comprehensive evaluation method and quantitative analysis which based on the “maximum membership degree evaluation”. All design schemes are ranked and selected according to the multiple evaluation score of parts with their weights. Finally, a case study for decision-making is presented to demonstrate the application of the evaluation method.

Research on Parameters of RC Structure Reliability

2014 ◽  
Vol 501-504 ◽  
pp. 1061-1064
Author(s):  
Bin Cai ◽  
Xin Hui Liu
Keyword(s):  
Reinforced Concrete ◽  
Structural Reliability ◽  
Concrete Structures ◽  
Reinforced Concrete Structures ◽  
Engineering Structures ◽  
Reliability Design ◽  
Structure Reliability ◽  
Rc Structure ◽  
Practical Engineering ◽  
Materials Used

In the analysis of engineering structures are usually adopt the method of fixed value, that is the practical engineering structure under load and the performance of materials used by structure shall be treated as a constant value.But, in fact, the structure of geometry size, bear the load, material parameters,computing model and so on are affected by various factors. In order to more accurately reflect the reliability problems of reinforced concrete structures, this paper, the factors above will be regarded as random variables, combining the basic theory of reliability design, through the probability analysis, in normal uselimit state reliability of reinforced concrete structures for example analysis of the influence of related parameters on the structural reliability.

Application of Fuzzy Safety Evaluation Method in Automobile Enterprises

2014 ◽  
Vol 722 ◽  
pp. 413-418
Author(s):  
Lei Wu ◽  
Gang Chen ◽  
Long Wu ◽  
Wen Juan Zhang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Fuzzy Mathematics ◽  
Fuzzy Evaluation ◽  
Comprehensive Evaluation Method ◽  
Strong System

Fuzzy evaluation method is a comprehensive evaluation method based on fuzzy mathematics. It is widely used because of its characteristics for clear results and strong system, and it can solve the problem of fuzzy and difficult to quantify. This paper using an automobile enterprise as an example introduces the application of fuzzy safety evaluation method.

scholarly journals Reliability Modeling and Assessment of Component with Multiple Weak Sites under Complex Loading

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Wenxue Qian ◽  
Xiaowei Yin ◽  
Liyang Xie
Keyword(s):  
Static Loading ◽  
Safety Margin ◽  
Complex Loading ◽  
The Other ◽  
Reliability Model ◽  
Reliability Modeling ◽  
Component Reliability ◽  
Reliability Design ◽  
Practical Engineering ◽  
Weak Site

A component with multiple weak sites is widely used in practical engineering and the existence of multiple weak sites can significantly decrease the component reliability. On the other hand, only a few components bear static loading and most components bear dynamic loading. In this paper, a reliability model of isomorphic component with multiple weak sites is built based on an order statistics model and the influences of strength decentrality and loading decentrality on isomorphic component with multiple weak sites are discussed. Furthermore the influence of loading times is studied in detail. The results show that unlike a component with only one weak site, not only does the failure of a component with multiple weak sites have a relationship with the safety margin, but there also exist relationships with the number of weak sites, the loading roughness, and loading times. The work in this paper is of some guiding significance in reliability design and assessment of a component with multiple weak sites under complex loading.

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