Fault Signal Detection Model for Large-Scale Circuit Communication System

Bao Sheng Chen

doi:10.4028/www.scientific.net/AMM.651-653.432

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Fault Signal Detection Model for Large-Scale...

Fault Signal Detection Model for Large-Scale Circuit Communication System

Abstract:

In the process of fault signal detection for large-scale circuit communication systems, with traditional methods to process detection, the fault detection method is more conservative. A fault signal detection for large-scale circuit communication system based on QRS wave group detection method is proposed. The signal to be measured is transformed appropriately in the time domain or frequency domain to strengthen or separate the QRS component, in order to suppress interference from various noise to signals, and the fault point of circuit communication system fault signal is identified, the filter is utilized as representative to process multiscale decomposition for fault signals of circuit communication systems. Experiments show that QRS wave group detection method can determine the occurrence time of the circuit system fault signal, and further estimate the nature of the fault signal, thus, the fault point of communication system fault signal is found to improve the efficiency of detection.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

432-435

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.432

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Online since:

September 2014

Authors:

Bao Sheng Chen*

Keywords:

Fault Signal, QRS Wave Group, Time Frequency Transform

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* - Corresponding Author

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