TY - JOUR
T1 - Operational fault diagnosis of manufacturing systems
AU - Hu, W.
AU - Starr, A. G.
AU - Leung, A. Y T
PY - 2003/2/1
Y1 - 2003/2/1
N2 - Among all kinds of possible faults in a manufacturing system, operational faults occur most often (about 70%). Efficient diagnosis of these faults is critical for improving the availability and productivity of the manufacturing system. This paper presents a hierarchical diagnosis model based on fault tree analysis (FTA) and two other diagnosis models, respectively, based on the logic and sequential control of manufacturing systems which are usually controlled by a programmable logical controller (PLC). With these models working together, the operational faults of a manufacturing system can be diagnosed completely. The models have been successfully applied to a PLC-controlled flexible manufacturing system (FMS) and have achieved good results. © 2002 Published by Elsevier Science B.V.
AB - Among all kinds of possible faults in a manufacturing system, operational faults occur most often (about 70%). Efficient diagnosis of these faults is critical for improving the availability and productivity of the manufacturing system. This paper presents a hierarchical diagnosis model based on fault tree analysis (FTA) and two other diagnosis models, respectively, based on the logic and sequential control of manufacturing systems which are usually controlled by a programmable logical controller (PLC). With these models working together, the operational faults of a manufacturing system can be diagnosed completely. The models have been successfully applied to a PLC-controlled flexible manufacturing system (FMS) and have achieved good results. © 2002 Published by Elsevier Science B.V.
KW - Fault diagnosis
KW - Fault tree analysis
KW - Manufacturing system
KW - PLC
UR - http://www.scopus.com/inward/record.url?scp=0037309913&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0037309913&origin=recordpage
U2 - 10.1016/S0924-0136(02)00252-2
DO - 10.1016/S0924-0136(02)00252-2
M3 - RGC 21 - Publication in refereed journal
SN - 0924-0136
VL - 133
SP - 108
EP - 117
JO - Journal of Materials Processing Technology
JF - Journal of Materials Processing Technology
IS - 1-2
ER -