Study on the Control System of an Automatic Testing Equipment for Diffusion Vacuum Pumps by Fault Tree Analysis

2010 ◽  
Vol 118-120 ◽  
pp. 556-560
Author(s):  
Shi Wei Zhang ◽  
Wen Sheng Liang ◽  
Zhi Jun Zhang
Keyword(s):  
Control System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Automatic Testing ◽  
Test Equipment ◽  
Automatic Test Equipment ◽  
Tree Analysis ◽  
The Core ◽  
Set Up ◽  
Automatic Testing Equipment

In order to promote the performance measurement technique of the diffusion vacuum pumps, one full-automatic test equipment was newly developed and patented. The control system is the core of the test equipment and its reliability analysis is necessary. The structure and the characteristics of the test equipment are introduced in paper. The fault tree of the test equipment is set up and illustrated in detail. Based on fault tree analysis, the reliability designs of the hardware and software of the test equipment are carried out.

Research of the Node Ordering Technique According to the Shortest Fault Tree

2017 ◽  
Author(s):  
Guofeng Tang ◽  
Jingyu Zhang ◽  
Wei Gao ◽  
Qinfang Zhang
Keyword(s):  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Binary Decision ◽  
Tree Analysis ◽  
Advanced Method ◽  
Probabilistic Safety Assessment ◽  
The Core ◽  
Minimal Cut Sets ◽  
Variable Ordering

Zero-suppressed Binary Decision Diagram (ZBDD) algorithm is an advanced method in fault tree analysis, which is developing quickly in recent years and being used in the development of the Probabilistic Safety Assessment (PSA) Quantification Engine. This algorithm converts a fault tree to a ZBDD structure, solves the minimal cut sets and calculates the top node unavailability. The ordering of the basic events and logical gates is the core technique of the ZBDD algorithm, which determines the efficiency of the ZBDD conversion and the size of the ZBDD structure. A variable ordering method based on the structure of the fault tree is developed in this paper, which gives a better basic events order by compressing the fault tree; meanwhile, the method offers a logical gates order. The nodes order derived from this method can accelerate the ZBDD conversion obviously.

Research on fault early warning and the diagnosis of machine tools based on energy fault tree analysis

2018 ◽  
Vol 233 (11) ◽  
pp. 2147-2159 ◽  
Author(s):  
Xuezhen Chen ◽  
Zhiyong Song ◽  
Hai Li ◽  
Qinghong Gong ◽  
Ying Li ◽  
...  
Keyword(s):  
Control System ◽  
Early Warning ◽  
Machine Tools ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Numerical Control ◽  
Numerical Control System ◽  
Monitoring Method ◽  
Tree Analysis ◽  
Computerized Numerical Control

At present, the status of the monitoring of computerized numerical control machine tools is still in the initial stage, and there is no uniform standard for fault early warning and diagnosis of machine tools. A standardized and comprehensive machine tool condition monitoring method based on energy fault tree analysis is proposed. The power, current and temperature inside the numerical control system and the signal of the external vibration sensor are collectively referred to as energy. A new energy fault tree is used to identify the location of the fault. At the same time, the client of computerized numerical control system internal information collection and analysis is developed. The characteristic frequency of each key component is analysed by theoretical mechanics, and an overall monitoring method is proposed to improve the monitoring efficiency. Finally, the reliability of the monitoring method is verified by experiments. The surface roughness of the parts is reduced by approximately 50%, which lays the foundation for the application of the engineering.

Sign in / Sign up

Export Citation Format

Share Document