Fault Diagnosis of Telecommunication Networks : Realistic Abductive Reasoning Approach

Network Fault Diagnosis Using Realistic Abductive Reasoning Model

In this paper, we propose a method to solve the network fault diagnosis problem using the realistic abductive reasoning model. This model uses abductive inference mechanism based on the parsimonious covering theory and adds some new features to the general model of diagnostic problem solving. The network fault diagnosis knowledge is assumed to be represented in the form of causal chaining, name...

Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults

Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...

Unifying Time and Uncertainty for Diagnosis 1

Existing models of diagnosis have not uni ed the notions of time, uncertainty and abduction which are necessary in domains such as clinical diagnosis, dynamic systems modeling, and fault diagnosis. We present a new approach which models information through linear constraints and nd that many aspects of our knowledge-base and inferencing mechanism are naturally suited towards these constraints. ...

Model-Based Diagnosis or Reasoning from First Principles

model that lets us automate the task of locating a detected misbehavior’s cause.1 Although several ways to locate causes exist, they all involve searching for the parts of the system that might have caused the misbehavior. In recent years model-based diagnosis has proven successful in numerous application domains, and the underlying methods are now powerful enough to handle many real-world prob...

Completing Fault Models for Abductive Diagnosis