JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (5): 51-56.doi: 10.6040/j.issn.1672-3961.0.2017.238

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Intermittent fault detection method based on sparse representation

YANG Rui   

  1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266500, Shandong, China
  • Received:2017-04-18 Online:2017-10-20 Published:2017-04-18

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Abstract: Based on the sparsity of intermittent faults in some domains, an intermittent fault detection method based on sparse representation was proposed. The system output data were used to build the overcomplete dictionary and design the fault detection threshold of intermittent fault, which was able to update the over-complete dictionary and fault detection threshold with online measurements. With the simulation verification, the proposed method was suitable for intermittent fault detection in dynamic system and results under different online updating strategies were compared.

Key words: fault detection, intermittent fault, sparse representation

CLC Number: 

  • TQ35
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