Current sensor fault detection and isolation method for PMSM drives, using average normalised currents

2016 ◽  
Vol 52 (17) ◽  
pp. 1434-1436 ◽  
Author(s):  
S. Khojet El Khil ◽  
I. Jlassi ◽  
J.O. Estima ◽  
N. Mrabet‐Bellaaj ◽  
A.J. Marques Cardoso
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Current Sensor ◽  
Sensor Fault ◽  
Isolation Method ◽  
Sensor Fault Detection

Chemical static equipment commonly used sensor fault detection and isolation methods

2021 ◽  
pp. 1-11
Author(s):  
Fang Peng ◽  
Wei Yang
Keyword(s):  
Fault Detection ◽  
Stable State ◽  
Fault Detection And Isolation ◽  
System Model ◽  
Sensor System ◽  
Support Vector ◽  
Sensor Fault ◽  
Isolation Method ◽  
Isolation Methods ◽  
Sensor Fault Detection

This paper conducts a study on the faults of common sensors involved in chemical static equipment. Firstly, the types and characteristics of commonly used sensors of chemical static equipment are analyzed, and the characteristics of sensor output signal changes are summarized with the working characteristics of chemical equipment. Then the faults of static equipment sensors are classified and a fault model is established. Through the study of sensor fault detection and isolation methods at home and abroad, the overall scheme of sensor system fault detection and isolation combining single sensor fault detection and isolation method and multi-sensor fault detection and isolation method is proposed. According to the characteristics that chemical processes are generally in a dynamic and stable state and there is a certain correlation between the signals of each detection point in the equipment, a sensor system model is established by using the correlation of multiple sensors on the equipment, and when a sensor in the sensor system fails, the system model changes beyond the threshold value, and a different form of residual generation is used to determine which sensor is faulty and achieve the detection and isolation of faulty sensors. The fault detection method is simulated and studied by using relevant software, combined with a support vector machine and neural network toolbox. The results show that the method proposed in this paper can effectively complete the fault detection and isolation of sensors commonly used in chemical static equipment. The accuracy and reliability of the prediction model are high.

scholarly journals A Sign Logic-Based Method of Current Sensor Fault Detection for PMSM Drivers

2021 ◽  
Vol 2021 ◽  
pp. 1-4
Author(s):  
Chuangqiang Guo ◽  
Chunya Wu ◽  
Hong Liu
Keyword(s):  
Fault Detection ◽  
Permanent Magnet Synchronous Motor ◽  
Fault Detection And Isolation ◽  
New Method ◽  
Current Sensor ◽  
Sensor Fault ◽  
Single Chip ◽  
Real Time Control ◽  
Classical State ◽  
Sensor Fault Detection

A simplified method of current sensor fault detection and isolation (FDI) for permanent magnet synchronous motor (PMSM) drives, which only requires to collect the information of motor positions and currents of the measured phases, has been proposed in this paper. Compared with the classical state-observer-based approaches, the calculations needed in the new method only involve a few addition and logical operations. The simplicity and reliability of the new method makes itself especially useful for fault detection of current sensors in real-time control systems with limited computational capability, e.g., single-chip microcomputers (SCM) or field programmable gate arrays (FPGA). The experimental results on the basis of a FPGA controller have validated the feasibility and robustness of the proposed FDI approach.

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