Title :
Autonomous fault diagnosis system using learning with queries
Author :
Saito, Osamu ; Sone, Tadashi
Author_Institution :
NTT Network Service Syst. Lab., Toyko, Japan
Abstract :
We propose a powerful method of building a neural network fault diagnosis system that automatically collects training data (failure examples) to improve diagnosis. The learning-with-queries technique in a neural network is used to select the fault position and create training data that will improve the recognition rate of the diagnosis system. This technique is applicable to a fault diagnosis of a large-scale systems such as telecommunication switching systems
Keywords :
fault diagnosis; learning (artificial intelligence); neural nets; pattern recognition; automatically training data collection; autonomous fault diagnosis system; diagnosis system; failure examples; fault position selection; large-scale systems; learning-with-queries technique; neural network fault diagnosis system; recognition rate; telecommunication switching systems; Circuit faults; Fault diagnosis; Hardware; Intelligent systems; Laboratories; Large-scale systems; Learning systems; Neural networks; Telecommunication switching; Training data;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488237
