Model Based Fault Detection and Isolation for Electric Scooter

被引：0

作者：

Yu, Ming ^{[1
]}

Xia, Hao ^{[1
]}

机构：

[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Anhui, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC) | 2017年

关键词：

fault detection and isolation; analytical redundancy relations; bond graph; electric scooter; BOND GRAPH APPROACH; DIAGNOSIS; VEHICLE; SYSTEM;

D O I：

10.1109/SDPC.2017.59

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The focus of this paper is to apply the fault detection and isolation (FDI) method based on the bond graph (BG) to the electric scooter system. The FDI approach utilizes the concept of analytical redundancy relations (ARRs), which are derived from a BG model with a specific causal relationship. This method is suitable for a variety of types of faults. Simulation in MATLAB/Simulink is conducted to verify the effectiveness of the proposed method for multiple types of faults that may occur in the electric scooter.

引用

页码：269 / 274

页数：6

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