Jump Simulation: A Technique for Fast and Precise Scan Chain Fault Diagnosis

2006 ◽  
Author(s):  
Yu-long Kao ◽  
Wei-shun Chuang ◽  
James Li
Keyword(s):  
Fault Diagnosis ◽  
Scan Chain

BIST-Based Method for Diagnosing Multiple Faulty CLBs in FPGAs

2014 ◽  
Vol 643 ◽  
pp. 243-248 ◽  
Author(s):  
Guo Hua Wang ◽  
Jing Lin Sun
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Fault Injection ◽  
Memory Block ◽  
Self Test ◽  
Fault Masking ◽  
Scan Chain ◽  
Diagnostic Resolution ◽  
Testing Patterns ◽  
Injection Experiment

This paper presents a new built-in self-test (BIST) method to realize the fault detection and the fault diagnosis of configurable logic blocks (CLBs) in FPGAs. The proposed BIST adopts a circular comparison structure to overcome the phenomenon of fault masking in diagnosing multiple faulty CLBs and improve the diagnostic resolution. To test the memory block in every CLB, different TPG structures are proposed to obtain maximum stuck-at fault coverage. For the LUT mode of the memory block, the TPG based on the LFSR is designed to provide Pseudo-exhaustive testing patterns, and for the distributed RAM mode of the memory block, the TPG based on FSM is designed to provide March C-testing patterns. Besides, the comparator-based output response analyzer (ORA) and the cascaded ORA scan chain are used to locate the faulty CLB and propagate the comparison output in every row. Finally, fault-injection experiment results verify its ability to detect and diagnose multiple faulty CLBs in faulty FPGAs.

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
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