Incipient Fault Detection Based on Bond Graph Method and Different Criteria of Residuals

被引：0

作者：

Kazemi, Mohammad G. ^{[1
]}

Montazeri, Mohsen ^{[1
]}

Asgari, Shadi ^{[1
]}

机构：

[1] Shahid Beheshti Univ, Abbaspour Engn Fac, Tehran, Iran

来源：

2015 23RD IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2015年

关键词：

Analytical Redundancy Relation (ARR); Bond Graph (BG); Fault Detection and Isolation (FDI); Incipient Fault; Integral of the Timed multiplied by the Absolute value of Residual (ITAR); INDUSTRIAL STEAM-GENERATOR; PART I; SUPERVISION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Incipient faults can cause gradual degradation of functionality of different components in a system. Due to slow varying nature of incipient faults, detection of these faults is difficult and complex, which this difficulty has increased with noises and uncertainty condition in the system. Bond Graph (BG) method is proposed for modeling and Fault Detection and Isolation (FDI) system design in complex and multi-domain processes. Based on BG model Analytical Redundancy Relations (ARRs) are derived and used as residuals. In this paper, by using derived ARRs and different criteria of residuals in integral form, a method for incipient fault detection is proposed. The proposed method not only has great performance in incipient fault detection, but also its performance in noisy condition is considerable. Effectiveness of the method is presented by simulation results.

引用

页码：970 / 975

页数：6

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