Titlebook: Real Time Fault Monitoring of Industrial Processes; A. D. Pouliezos,G. S. Stavrakakis Book 1994 Springer Science+Business Media Dordrecht

Diuretic

https://doi.org/10.1007/978-94-015-8300-8Monitoring; artificial neural networks; computer; control; diagnosis; maintenance; network; neural networks

倒转

Fault Diagnosis Using Artificial Neural Networks (ANNs),The theory and practical applications of . (.) are expanding with very high rates, and the fields of application are increasing. It is not surprising, therefore, that fault diagnosis is one of the main areas that ANNs have been used with promising results, along with similar progress in control and identification of non-linear dynamical systems.

GUILE

978-90-481-4374-0Springer Science+Business Media Dordrecht 1994

COW

Gyrate

2213-8986 Overview: 978-90-481-4374-0978-94-015-8300-8Series ISSN 2213-8986 Series E-ISSN 2213-8994

Barter

Fault Detection and Diagnosis Methods in the Absence of Process Model,gross accident, because of faulty plant operation. A fault may be defined as an abnormal change in the characteristics of a system which gives rise to undesirable performance. The fault may be an actual malfunction or perhaps only a change in an operating parameter related with the structure of the

Factorable

Analytical Redundancy Methods,rmation represented by the system’s mathematical model. The term . is used here as contrary to the term ., denoting cruder sustem descriptions. There are two main trends of this approach, namely . or . methods and .. This distinction is not universally adopted and some researchers consider these two

迎合

Parameter Estimation Methods for Fault Monitoring,ers and states of a mathematical model of a process given in general by an input-output relation, . where . represents the vector output of the process, .(.) the vector input, .(.) the partially measurable state variables, . the nonmeasurable process parameters likely to change and .(.) unmodeled or

frivolous

Automatic Expert Process Fault Diagnosis and Supervision,currence of recent disasters because of unsatisfactory control or missed diagnosis of failures (Three Mile Island and Tchernobyl are but a few examples). Control and fault diagnosis cannot be realized without a good methodology of modeling, i.e. representing the structure and behavior of the systems

Euthyroid