A diagnosis based on Bayesian theory requires knowledge of the a priori and conditional
probabilities of the states of the system being diagnosed. The a priori probabilities are …

This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed
methodology is based on adding a second regularization term in the objective function of a …

The genesis of the proposed fault isolation approach was the belief that the added value
may be achieved through the synthesis of various approaches. In this paper, we propose a …

This paper introduces a set of comprehensive general reasoning rules about single faults
based on a diagnostic matrix. The reasoning scheme unifies inference about faults based on …

The fault compensation effect sets an important and up-to-date unsolved theoretical and
practical problem for diagnostics of processes. Compensation of influences of faults on …

The survey presents a selection of the methods of the fault detection and isolation suitable to
be useful for the diagnostics of the complex, large scale industrial processes. The paper …

This paper presents a new idea of enhancement of the overall safety of industrial processes.
The idea rely on an introduction of an additional protective-safety layer making use of …

A comprehensive characterization of four selected fault distinguishability methods is
presented herein. All considered methods are derived from structural residual approaches …

Przedstawiono zadania systemów diagnostycznych dla procesów przemysłowych w
zestawieniu z niedostatkami współczesnych systemów alarmowych. Omówiono …

The novel and practicable on-line fuzzy fault isolation approach is proposed and discussed
in this paper. This approach refers to proposition of diagnosing in decentralized two-level …