Identification of Pivotal Causes and Spreaders in the Time-Varying Fault Propagation Model to Improve the Decision Making under Abnormal Situation

2014 ◽  
Vol 32 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Chun-Ling Dong ◽  
Qin Zhang
Keyword(s):  
Decision Making ◽  
Propagation Model ◽  
Time Varying ◽  
Fault Propagation ◽  
Fault Propagation Model

Feasibility Study of Fault Diagnostics Using Multiple Neural Networks

1999 ◽  
Vol 11 (4) ◽  
pp. 326-330
Author(s):  
Yukiyasu Shimada ◽  
◽  
Kazuhiko Suzuki
Keyword(s):  
Neural Networks ◽  
Feasibility Study ◽  
Diagnostic System ◽  
Propagation Model ◽  
Chemical Plants ◽  
Fault Propagation ◽  
Minimal Cut Sets ◽  
Multiple Neural Networks ◽  
On Line ◽  
Fault Propagation Model

This paper presents a fault diagnostic system (FDS) using multiple neural networks for chemical plants. The fault propagation in progress is modeled by causal relationships between a fault tree (FT) and its minimal cut sets (MCSa). The measurement patterns required for training neural networks (NNs) are obtained from fault propagation model. The FDS has a circuit network and component networks. The circuit network can identify circuit malfunctions that include disturbances. The component networks can identify component malfunctions as root causes of process malfunction. We have constructed an on-line FDS by making use of proposed method and verified the effectiveness of it experimentally.

scholarly journals Risk Analysis of Coupling Fault Propagation Based on Meta-Action for Computerized Numerical Control (CNC) Machine Tool

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yifan Chen ◽  
Genbao Zhang ◽  
Yan Ran
Keyword(s):  
Machine Tool ◽  
Fault Analysis ◽  
Propagation Model ◽  
Numerical Control ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Fault Propagation ◽  
Coupling Relationship ◽  
Coupling Fault ◽  
Fault Propagation Model

A comprehensive fault analysis of CNC machine tool is conducive to improving its reliability. Due to the highly complex structure of CNC machine tool, there are different degrees of coupling relationship between faults. However, the traditional fault analysis methods (FMEA, FTA, etc.) for CNC machine tool do not solve this problem perfectly. Therefore, we propose a coupling fault propagation model based on meta-action. First, in order to simplify the structural complexity of CNC machine tool, the “Function-Motion-Action (FMA)” decomposition structure is used to decompose the product function into simple meta-action, and the numerical matrix is used to quantify the coupling relationship between the meta-actions. Then, based on the fault transfer characteristics of meta-action, the fault propagation model is established, and the global risk effect (GRE) is combined to realize the comprehensive evaluation of the risk criticality of meta-actions. Finally, the rationality and validity of the method are verified by the case analysis of the automatic pallet changer (APC) of computerized numerical control (CNC) machining center.

Sign in / Sign up

Export Citation Format

Share Document