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Handing Tolerance Problem in Fault Diagnosis of Linear-Analogue Circuits with Accurate Statistics Approach

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  • Xin Gao
  • HouJun Wang
  • Zhen Liu

Abstract

The tolerance handling in analogue fault diagnosis is a challenging problem. Although lots of methods are effective for fault diagnosis, it is hard to apply them to the case with tolerance influence. In this paper, a robust statistics-based approach is introduced for tolerance-influencing fault diagnosis. The advantage of this proposed method is that it can accurately locate the data fusion among fault states. In addition, the results in analogue benchmark (e.g., linear voltage divider circuit) indicate that it is effective in fault diagnosis in accordance with given fault diagnostic requirements (e.g., fault diagnosis error, fault detection rate).

Suggested Citation

  • Xin Gao & HouJun Wang & Zhen Liu, 2013. "Handing Tolerance Problem in Fault Diagnosis of Linear-Analogue Circuits with Accurate Statistics Approach," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnljam:414120
    DOI: 10.1155/2013/414120
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