scholarly journals Root Cause Identification of Machining Error Based on Statistical Process Control and Fault Diagnosis of Machine Tools

Machines ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. 20 ◽  
Author(s):  
◽  
◽  
Keyword(s):  
Fault Diagnosis ◽  
Process Control ◽  
Statistical Process Control ◽  
Machine Tools ◽  
Machining Error ◽  
Statistical Process ◽  
Root Cause ◽  
Root Cause Identification

scholarly journals Wind Turbine Fault Diagnosis and Predictive Maintenance Through Statistical Process Control and Machine Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 23427-23439 ◽  
Author(s):  
Jyh-Yih Hsu ◽  
Yi-Fu Wang ◽  
Kuan-Cheng Lin ◽  
Mu-Yen Chen ◽  
Jenneille Hwai-Yuan Hsu
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Process Control ◽  
Wind Turbine ◽  
Statistical Process Control ◽  
Predictive Maintenance ◽  
Statistical Process

scholarly journals COMPUTER CONTROL THE ACCURACY OF THE PARTS PROCESSED ON CNC MACHINE TOOLS BASED ON STATISTICAL PROCESS CONTROL

2017 ◽  
Vol 3 ◽  
pp. 179
Author(s):  
Angel Lengerov ◽  
Galina Nikolcheva ◽  
Julieta Kaleycheva ◽  
Lyubomir Lazov
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Machine Tools ◽  
Computer Control ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Tolerance Zone ◽  
Machining Time ◽  
Statistical Process

Statistical process control (SPC) can help manufacturers improve the quality of their products. This paper describes a relatively simple and effective method and algorithm to adjust the accuracy of parts produced on CNC machine tools using the methods of statistical process control. Examined the possibilities of the proposed method by computer simulation of the process. By using the proposed algorithm scattering of size is placed in the middle of the tolerance zone. Various variants carrying out the method are proposed adequate on the machining time during processing details in the sample. This can optimize the total time for processing of the batch.

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