scholarly journals Research On Failure Detection Method of Converter Valve In 500 KV Transformer Substation Without Back-Inspection

2021 ◽  
Vol 2033 (1) ◽  
pp. 012102
Author(s):  
Min Tao ◽  
Jiahao Liang
2015 ◽  
Vol 644 ◽  
pp. 78-82 ◽  
Author(s):  
Pierrick Guiral ◽  
Jean Marc Galvan ◽  
Patrick Pittet ◽  
Ruo Xi Wang ◽  
Guo Neng Lu ◽  
...  

We propose a failure detection method for GaN-based dosimetric systems, which basically consist of a GaN-incorporated optical fiber probe coupled to a photodetection module. The method consists in introducing UV excitation with a 285nm LED, and detecting the photoluminescence (PL) of the GaN transducer centered at 380nm. Spectral analysis of the detected signal allows verification of normal operation and identification of failure cases, due to problems of GaN-fiber coupling and poor fiber connection between probe and photodetection module. The proposed method is implemented and experimentally tested, including the use of a 660nm LED to illuminate the probe to verify the transmission ratio between probe and photodetection module. The validity of this method has been verified.


Author(s):  
Joohee Kim ◽  
Daniel H. Jung ◽  
Jonghyun Cho ◽  
Jun So Pak ◽  
Joungho Kim ◽  
...  

Abstract As the TSV count increases, chip yield can be severely degraded due to failures during the TSV or die-stacking processes. This paper will present and discuss on the usage of failure masks designed to detect and differentiate failure types such as connection failure and insulator failure based on frequency-domain one point probing measurement. The failure masks are proposed on the basis of the frequency domain analysis of TSV failures with Z11 magnitudes.


2017 ◽  
Vol 137 (4) ◽  
pp. 318-325 ◽  
Author(s):  
Koichiro Iwaoka ◽  
Yuzo Hirotsu

2013 ◽  
Vol 846-847 ◽  
pp. 778-781
Author(s):  
Hong Liang Guo ◽  
Shao Ying Kong

Wireless network control system is characterized by high uncertain delay time, thus the state of the system can not be fully observed. The fault characteristic is interfered by time delay so to be unstable, leading inaccurate fault detection. Traditional fault detection method of wireless network control system is usually based on the characteristics of the stability of the network status data. If the network has time delay fluctuations, it is unable to obtain accurate fault detection results. This paper presents a stochastic delay fault detection method. It builds a state space model of the system, analyzes the delay vector between the sensor end of the system and the controller end, depending on the delay residual signal of the system and the corresponding evaluation function to obtain the system failure detection result. The final simulation result shows that this method has high accuracy in the detection of Stability and randomness of the wireless network fault detection. Thus it is an effective wireless network control system fault detection method.


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