Fault Signal Detection System of Large Scale Integrated Circuit Based on Single Chip Microcomputer

Article Preview

Abstract:

In the process of fault signal detection of large-scale integrated circuit, the fault signal detection can improve the working performance of large-scale integrated circuit. The traditional detection system is simple, time-consuming, and the error is large, the fault signal detection haslow accuracy. In view of this situation, a new design method of large scale integrated circuit fault signal detection system is proposed based on single chip microcomputer. S3C2410 is taken as hardware design basis, and the signal sensor is used, the software algorithm uses three B spline wavelet transform for ORB wave detection method. The detection is completed.The experiment experimental results show that the system can improve the detection accuracy greatly, and effectively improve the work efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

924-927

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] ZHEN Jian-jun, ZHANG Yi, HU Guang-bo. Research on Inductive Power Transmission Technology Based on Spiral Planar Coil[J]. Electrical Automation, 2014, 36(2): 78-80.

Google Scholar

[2] LI Feng, WU Chun- ming. Research on Prevention Fluctuation Control method of Network Intrusion Based on Energy Management[J]. Computer simulation, 2013, 30(12): 45-48, 335.

Google Scholar

[3] PENG Li-ying. Traffic Data Anti Step Fusion Algorithm Based on Improved Sliding Mode Disturbance Control Rule[J]. Control Engineering of China, 2014, 21(4): 515-519.

Google Scholar

[4] Xing Jiliang. Research on Method of Fault Information Filtering and Effective Word Frequency Estimation for Web[J]. Bulletin of Science and Technology, 2014, 30(2): 59-61.

Google Scholar

[5] ZHENG Zhen, WANG Liyuan, ZHOU Yong. Chaos Theory and Its Application in Ships Target Recognition[J]. Ship Electronic Engineering, 2013, 33(5): 48-50.

Google Scholar

[6] Wen Yangdong, Song Yang, Wang Ying. Fault Diagnosis Method for Power Transformer Based on Fuzzy Neural Network[J]. Computer Measurement & Control, 2013, 21(1): 39-41.

Google Scholar