Fault detection and isolation system for four-wheels drive electric vehicles

2019 ◽  
Author(s):  
Boulaid Boulkroune ◽  
Sebastiaan van Aalst ◽  
Ellen van Nunen ◽  
Yoann Descas
Keyword(s):  
Fault Detection ◽  
Electric Vehicles ◽  
Fault Detection And Isolation ◽  
Isolation System

scholarly journals Design of a Fault Detection and Isolation System for Intelligent Vehicle Navigation System

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Wei Huang ◽  
Xiaoxin Su
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Intelligent Vehicle ◽  
Sensor Faults ◽  
Driver Assistance ◽  
Isolation System ◽  
Extended Kalman Filters ◽  
Vehicle Navigation System ◽  
Fault Sensitivity ◽  
Sensitivity Pattern

This paper deals with the design of a fault detection and isolation (FDI) system for an intelligent vehicle, a vehicle equipped with advanced driver assistance system (ADAS). The ADASs are outfitted with sensors for acquiring various information about the vehicle and its surroundings. Since these sensors are sensitive to faults, an efficient FDI system should be developed. The designed FDI system is comprised of three parts: a detection part, a decision part, and a fault management part. The detection part applies a generalized observer scheme (GOS). In the GOS, there is bank of extended Kalman filters (EKFs), each excited by all except one sensor measurement. The residual generated from the measurement update of each EKF is therefore sensitive to all sensor faults but one. This way, the fault sensitivity pattern of the residual makes it possible to detect a fault and locate the faulty sensor. The designed FDI system has been implemented and tested off-line with actual experiment data. Good results have been obtained with diagnosing individual sensor faults and outputting fault-free vehicle states.

Fault detection and isolation system for boiler-turbine unit of a thermal power plant

2017 ◽  
Vol 148 ◽  
pp. 237-244 ◽  
Author(s):  
G. Madrigal-Espinosa ◽  
G.-L. Osorio-Gordillo ◽  
C.-M. Astorga-Zaragoza ◽  
M. Vázquez-Román ◽  
M. Adam-Medina
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Turbine Unit ◽  
Thermal Power ◽  
Fault Detection And Isolation ◽  
Isolation System

scholarly journals Application of a Fault Detection and Isolation System on a Rotary Machine

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Silvia M. Zanoli ◽  
Giacomo Astolfi
Keyword(s):  
Fault Detection ◽  
Centrifugal Compressor ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Isolation System ◽  
Multiple Faults ◽  
Rotary Machine ◽  
Model Free ◽  
Refinery Plant

The paper illustrates the design and the implementation of a Fault Detection and Isolation (FDI) system to a rotary machine like a multishaft centrifugal compressor. A model-free approach, that is, the Principal Component Analysis (PCA), has been employed to solve the fault detection issue. For the fault isolation purpose structured residuals have been adopted while an adaptive threshold has been designed in order to detect and to isolate the faults. To prove the goodness of the proposed FDI system, historical data of a nitrogen centrifugal compressor employed in a refinery plant are considered. Tests results show that detection and isolation of single as well as multiple faults are successfully achieved.

Sign in / Sign up

Export Citation Format

Share Document