Title :
Diagnosis of telephony line card component failures using an artificial neural network
Author :
Thompson, Alfred B. ; Sutton, John C. ; Nagle, H. Troy
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
The authors describe the development of a modular artificial neural network (MANN) that is suitable for the diagnosis of failures in high-volume printed circuit boards using both analog and digital components. A case study comparing the MANN to an existing expert system used for diagnosing telephony line card component failure is presented. The structure and training strategy for the MANN as well as the current status of the project are discussed
Keywords :
failure analysis; neural nets; printed circuit testing; telephone equipment; MANN; analog component failure diagnosis; digital components; high-volume printed circuit boards; modular artificial neural network; telephony line card component failures; training strategy; Artificial neural networks; Circuit faults; Circuit testing; Diagnostic expert systems; Fault diagnosis; Neural networks; Pattern recognition; Printed circuits; System testing; Telephony;
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
DOI :
10.1109/SECON.1991.147743
