A Boundary Scan Based Realization Method for Fault Diagnosis of Torn Analog Subnet

2011 ◽  
Author(s):  
Cao Jin ◽  
Xu Lei ◽  
Guo Yifei ◽  
Guo Ruixu
Keyword(s):  
Fault Diagnosis ◽  
Boundary Scan

Research on Fault Diagnosis Methods for Mixed-Signal Circuits

2013 ◽  
Vol 313-314 ◽  
pp. 1239-1242
Author(s):  
Xun Zhou ◽  
Xiao Li Wang
Keyword(s):  
Fault Diagnosis ◽  
Design For Testability ◽  
Boundary Scan ◽  
Mixed Signal ◽  
Mixed Signal Circuits

In terms of the developing actuality of mixed-signal circuits, several familiar diagnosis methods are introduced in the paper including the basis principle, the merits and demerits for each method. At the same time, the design for testability based on Boundary scan is discussed. At last, the developing trends of this field is predicted.

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Case Study on Fault Diagnosis of the Actual Operating Transformer by FRA

2011 ◽  
Vol 131 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Takahiro Sano ◽  
Yoshiharu Ogawa ◽  
Takaaki Shimonosono ◽  
Tadayuki Wada
Keyword(s):  
Fault Diagnosis ◽  
Actual Operating
Sign in / Sign up

Export Citation Format

Share Document