DATA DRIVEN METHOD FOR FAULT DETECTION AND ISOLATION IN NONLINEAR UNCERTAIN SYSTEMS

2007 ◽  
Vol 40 (17) ◽  
pp. 283-286 ◽  
Author(s):  
Alexey Shumsky
Keyword(s):  
Fault Detection ◽  
Uncertain Systems ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Nonlinear Uncertain Systems

A data-driven ground fault detection and isolation method for main circuit in railway electrical traction system

2019 ◽  
Vol 87 ◽  
pp. 264-271 ◽  
Author(s):  
Zhiwen Chen ◽  
Xueming Li ◽  
Chao Yang ◽  
Tao Peng ◽  
Chunhua Yang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Isolation Method ◽  
Ground Fault ◽  
Traction System ◽  
Ground Fault Detection

scholarly journals Overview of fault detection methods for power plant control systems purposes

2019 ◽  
pp. 127-129
Author(s):  
Dmytro Shram ◽  
Oleksandr Stepanets
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Power Plants ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Detection Methods ◽  
Model Free ◽  
Power Plant Control ◽  
Technical Details ◽  
Plant Control

The main objective of this paper is to review of fault detection and isolation (FDI) methods and applications on various power plants. Due to the focus of the topic, on model and model-free FDI methods, technical details were kept in the references. We will overview the methods in terms of model-based, data driven and signal based methods further in the paper. Principles of three FDI methods are explained and characteristics of number of some popular techniques are described. It also summarizes data-driven methods and applications related to power generation plants. Parts of control system applications of FDI in TPPs with possible faults are shown in the Table I. Some popular techniques for the various faults in TPPs are discussed also.

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