FDP: fault detection probability function for analog circuits

2002 ◽  
Author(s):  
A. Khouas ◽  
A. Derieux
Keyword(s):  
Fault Detection ◽  
Analog Circuits ◽  
Detection Probability ◽  
Probability Function

Testing Analog Circuits by PCA of Power Supply Current

2012 ◽  
Vol 157-158 ◽  
pp. 641-645 ◽  
Author(s):  
Guo He ◽  
Chao Jie Zhang ◽  
Guang Hui Chang ◽  
Shu Hai Liang
Keyword(s):  
Fault Detection ◽  
Power Supply ◽  
Analog Circuits ◽  
Principal Component ◽  
General Rule ◽  
Component Model ◽  
Level Sensor ◽  
Supply Current ◽  
Principal Component Model ◽  
Liquid Level Sensor

A method using principal component analysis (PCA) of dynamic power supply current was proposed for testing of analog circuits in this paper. The basic model of the proposed method and the general rule for analog fault detection were described in detail. At first, the principal component model of fault-free circuits was constructed. Then the circuits-under-test was compared with the principal component model to calculate the statistic for fault detection. The features of power supply current in both time and frequency domain were combined by PCA, and it could overcome the difficulty to determine threshold by empirical knowledge. The proposed method was applied to detect faults of the signal filtering and amplifying circuit, which is used in the ultrasonic liquid-level sensor. The results show that the power supply current contains information about the circuit’s faults, and can be used for fault detection of analog circuits by analyzing this signal.

Sign in / Sign up

Export Citation Format

Share Document