Artificial intelligence methods in diagnostics of analog systems

Artificial intelligence methods in diagnostics of analog systems

The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. E...

An Artificial Intelligence Approach to Analog Systems Diagnosis

This paper describes some general diagnostic reasoning techniques which exploit recent advances in the field of Artificial Intelligence. These techniques were developed over a period of several years of research in this area at the Naval Research Laboratory. One of the products of this research is a fully implemented diagnostic reasoning system called FIS which embodies these techniques and is ...

Online, Artificial Intelligence-Based Turbine Generator Diagnostics

The development of an online turbine generator diagnostic system is described from conception to initial field verification. The system is composed of a data center located in the power plant that collects data from online measurement devices and communicates these data to a centralized diagnostic facility in Orlando, Florida, where the actual diagnosis is done. The resulting diagnosis and reco...

Bayesian Methods in Artificial Intelligence

In many problems in the area of artificial intelligence, it is necessary to deal with uncertainty. Using probabilistic models can also improve efficiency of standard AI-based techniques. Commonly used methods for dealing with uncertainty include Bayesian models, which can be used to describe and work with probabilistic systems effectively. This article reviews several models based on the Bayesi...

Mathematical methods in artificial intelligence