A bank of observers based LPV Fault Detection and Isolation method for Spark Injection Engines

2010 ◽  
Author(s):  
Gianfranco Gagliardi ◽  
Alessandro Casavola ◽  
Domenico Famularo
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Isolation Method

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

A PCA Based Fault Detection and Isolation Method for Train Locating System

2010 ◽  
Vol 20-23 ◽  
pp. 688-693
Author(s):  
Jiang Liu ◽  
Bai Gen Cai ◽  
Tao Tang ◽  
Jian Wang
Keyword(s):  
Fault Detection ◽  
Fault Tolerant ◽  
Fault Detection And Isolation ◽  
Practical Application ◽  
Isolation Method ◽  
Efficiency Factors ◽  
Simulation Results ◽  
And Performance ◽  
Locating System ◽  
Fault Detectors

Fault tolerance is crucial to the operating safety and performance of train locating system. Based on the requirements of reliability and safety for train locating, the fault characteristics of location measuring sensors are analyzed. Based on the structure of the train locating system, the fault-tolerant design of the system is given with the location filtering module for case, in which six fault detectors are employed to determine the configuration of the module. Then a PCA based fault detection and isolation method is proposed with Hawkins T2 statistics and the corresponding control limit. By dynamically adjusting the efficiency factors, fault could be detected and isolated as prior defined isolating strategies, and then the fault tolerant performance will be guaranteed. Simulation results demonstrate the high fault tolerant ability of the proposed approach and certain practical application value.

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