In this paper, a fault diagnosis method based on statistical process control charts is proposed. The approach uses the knowledge extractions obtained from statistical process control charts and then extracts a set of minimal diagnostic rules by the experts in the field. The diagnosis performance of the proposed method is demonstrated using an experimental study. By means of the extracted knowledge, the machining process failures, and related rapid diagnosis can be identified. A practical system is presented to illustrate the efficiency and effectiveness of the proposed method.
El-Baz, M. (2020). Fault Diagnosis in Machining Based on Statistical Process Control.. MEJ- Mansoura Engineering Journal, 35(1), 45-54. doi: 10.21608/bfemu.2020.124667
MLA
M. El-Baz. "Fault Diagnosis in Machining Based on Statistical Process Control.". MEJ- Mansoura Engineering Journal, 35, 1, 2020, 45-54. doi: 10.21608/bfemu.2020.124667
HARVARD
El-Baz, M. (2020). 'Fault Diagnosis in Machining Based on Statistical Process Control.', MEJ- Mansoura Engineering Journal, 35(1), pp. 45-54. doi: 10.21608/bfemu.2020.124667
VANCOUVER
El-Baz, M. Fault Diagnosis in Machining Based on Statistical Process Control.. MEJ- Mansoura Engineering Journal, 2020; 35(1): 45-54. doi: 10.21608/bfemu.2020.124667
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