Multiple fault detection in fan-out free circuits using minimal single fault test set

1996 ◽  
Vol 45 (6) ◽  
pp. 763-765 ◽  
Author(s):  
K. Lai ◽  
P.K. Lala
Author(s):  
Nikolaos Papakonstantinou ◽  
Scott Proper ◽  
Bryan O’Halloran ◽  
Irem Y. Tumer

The development of Fault Detection and Identification (FDI) systems for complex mechatronic systems is a challenging process. Many quantitative and qualitative fault detection methods have been proposed in past literature. Few methods address multiple faults, instead an emphasis is placed on accurately proving a single fault exists. The omission of multiple faults regulates the capability of most fault detection methods. The Functional Failure Identification and Propagation (FFIP) framework has been utilized in past research for various applications related to fault propagation in complex systems. In this paper a Hierarchical Functional Fault Detection and Identification (HFFDI) system is proposed. The development of the HFFDI system is based on machine learning techniques, commonly used as a basis for FDI systems, and the functional system decomposition of the FFIP framework. The HFFDI is composed of a plant-wide FDI system and function-specific FDI systems. The HFFDI aims at fault identification in multiple fault scenarios using single fault data sets, when faults happen in different system functions. The methodology is applied to a case study of a generic nuclear power plant with 17 system functions. Compared with a plant-wide FDI system, in multiple fault scenarios the HFFDI gave better results for identifying one fault and also was able to identify more than one faults. The case study results show that in two fault scenarios the HFFDI was able to identify one of the faults with 79% accuracy and both faults with 13% accuracy. In three fault scenarios the HFFDI was able to identify one of the faults with 69% accuracy, two faults with 22% accuracy and all three faults with 1% accuracy.


2014 ◽  
Vol 488-489 ◽  
pp. 1152-1155
Author(s):  
Xi Wei Zheng

The lighting and signaling system test rig of the GM Excelle is selected to develop lighting rig, and is designed according to the circuit diagram of the system real cars and real cars positions. This rig have a system diagram, the fault controller, fault detection interface. In actual use, a single fault type can be set, and multiple fault types can be set, too. Failure points of each fault type can also be arbitrarily set according to the situation of the student grasping, which is more conducive to cultivating diagnostic ideas of the students and improving their troubleshooting ability. It is an economical, practical and efficient experimental teaching equipment.


1991 ◽  
Vol 27 (15) ◽  
pp. 1329 ◽  
Author(s):  
T.-Y. Kuo ◽  
J.-F. Wang ◽  
J.-Y. Lee

1992 ◽  
Vol 24 (5) ◽  
pp. 243-250
Author(s):  
T.-Y. Kuo ◽  
J.-F. Wang ◽  
J.-Y. Lee

2002 ◽  
Vol 12 (8) ◽  
pp. 675-696 ◽  
Author(s):  
Robert H. Chen ◽  
Jason L. Speyer

1992 ◽  
Vol 3 (2) ◽  
pp. 171-173 ◽  
Author(s):  
James Jacob ◽  
Vishwani D. Agrawal

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