Research on Fault Diagnosis of Flexible Material R2R Manufacturing System Based on Quality Control Chart and SoV

Abstract

The Stream of Variation (SoV) model and control chart are combined to study the fault diagnosis method of flexible materials R2R manufacturing system. Based on the analysis of the correlation between the fault source and product quality in the manufacturing process and also the statistical distribution rule of the processing quality characteristic vector and the fault source , SoV model under controlled or uncontrolled states and the mathematical model of the probability distribution of the statistic 2 , of the quality characteristic variable are deduced. And the calculation equation of the centerline, the upper limit, and the lower limit of the control chart are deduced. The experimental results show that, under controlled or uncontrolled condition, when the program runs to 500 steps, the Average Run Length (ARL) of the performance parameters tends to be stable; and when program reaches 1000 steps, the actual ARL value is almost the same as the theoretical value. The fault diagnosis experiment shows that, under the condition when the fault source is strongly correlated or the fault source correlation coefficient is the same, using the control chart established in this paper can simply and quickly determine the fault location in the system.

Research on Prediction Method of Performance Degradation of Flexible Optoelectronic Film Material Processing Equipment Based on Adaptive Fuzzy Clustering

“…To verify the performance degradation index calculation model proposed above, the flexible photoelectric film material R2R processing test was carried out using the experimental equipment of [4] (Figure 3). The roller shaft of the experimental equipment is mounted on the bearing housing.…”

“…For example, Jay Lee combines SOM neural network with statistical pattern recognition (SPR) to propose a prediction method for online adaptive equipment performance degradation, which is verified in the health monitoring experiment of machine test bench [2]; Faisal studied the risk prediction method using self-organizing map in the risk prediction of system failure and applied the probability analysis to classify the risk characteristics of the system [3]. Reference [4] combined Stream of Variation (SOV) model with quality control chart for fault prediction of flexible material manufacturing systems.…”

The Concept of Structure a Flexible Design and Manufacturing Method Focused on the Individual Production of Grippers

“…high flexibility of manufacturing and easy retooling, all processes related to the manufacturing environment as well as the manufacturing processes are integrated within a single CIM (Computer Integrated Manufacturing) data stream, monolithic and complete construction of modules and manufacturing cells, full integration of the manufacturing system with modern 3D design methods [3][4][5][6][7]. The present work details the concept of implementing the FMS system at the small enterprise Ankotech which deals with the design and implementation of gripping devices (grippers) utilized as the end effector for manipulators by company Binar Quick-Lift Systems AB.…”

Research on Feature Extraction of Performance Degradation for Flexible Material R2R Processing Roller Based on PCA

“…The object of flexible material roll-to-roll processing is flexible electronic film material; once the core components of processing equipment begin to degrade, flexible electronic film products will be deformed to varying degrees, resulting in processing quality problems [1,2]. Therefore, it is necessary to predict the performance and health status of the core components of flexible material R2R processing equipment.…”