TY - JOUR
T1 - Intelligent Integrated Diagnostics
T2 - Development of the Diagnostics System for Online Quality Control of Powder Injection Molding
AU - Kumara, Soundar R.T.
AU - Lee, Jinwhan
PY - 1995
Y1 - 1995
N2 - In this research the authors propose an integrated intelligent diagnostics scheme for the on-line quality control of the Powder Injection Molding (PIM) process. In specific, this paper concentrates on the computational methodologies related to the process diagnostics. A causality network model and its underlying mathematics to represent the domain and case specific diagnostic knowledge of PIM process are discussed. Alternatives of hypothetical explanations to the product defects are generated by network conversion techniques and abductive reasoning. Diagnostic solutions are generated by applying verification criteria for the hypotheses. The effectiveness of the proposed methodologies are verified by testing real-life problems.
AB - In this research the authors propose an integrated intelligent diagnostics scheme for the on-line quality control of the Powder Injection Molding (PIM) process. In specific, this paper concentrates on the computational methodologies related to the process diagnostics. A causality network model and its underlying mathematics to represent the domain and case specific diagnostic knowledge of PIM process are discussed. Alternatives of hypothetical explanations to the product defects are generated by network conversion techniques and abductive reasoning. Diagnostic solutions are generated by applying verification criteria for the hypotheses. The effectiveness of the proposed methodologies are verified by testing real-life problems.
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U2 - 10.1016/S0007-8506(07)62349-X
DO - 10.1016/S0007-8506(07)62349-X
M3 - Article
AN - SCOPUS:0029232099
SN - 0007-8506
VL - 44
SP - 393
EP - 398
JO - CIRP Annals - Manufacturing Technology
JF - CIRP Annals - Manufacturing Technology
IS - 1
ER -