| Title | Combination Multiple Faults Diagnosis Method Applied to the Aero-engine Based on Improved Signed Directed Graph |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Xiaolei, WANG, Zhengning, YU, Xuemin, NIU, Xianfeng, LU, Hao, YANG, Zhongjiawen, LIU |
| Conference Name | 2019 4th International Conference on Measurement, Information and Control (ICMIC) |
| Keywords | Aircraft, Airports, Atmospheric modeling, bleed air systems, combinatorial logic, cyber physical systems, Fans, fault diagnosis, human factors, Industries, Mathematical model, Metrics, multiple fault diagnosis, pubcrawl, Resiliency, signed directed graph |
| Abstract | In signed directed graph (SDG) fault diagnosis model, only single fault can be diagnosed. In order to meet the requirements of multiple faults diagnosis, in this paper, improved signed directed graph (ISDG) fault diagnosis model was proposed. The logic and influence between nodes were included in ISDG model. With ISDG model, complex logic can be shown, multiple faults can be diagnosed and the optimal sequence can be determined. Two algorithms are proposed in this paper. One algorithm can obtain the multiple faults combine logic, and the other algorithm can obtain the optimal path of fault diagnosis. According to these two algorithms, the efficiency was improved and the cost was reduced in the multiple fault diagnosis process. Finally, the faults of an aircraft engine bleed system were diagnosed with the interactive algorithm. The proposed algorithms can obtain a diagnosis result effectively. The results of two cases prove that these algorithms can be used for multiple fault diagnosis. |
| DOI | 10.1109/ICMIC48233.2019.9068567 |
| Citation Key | xiaolei_combination_2019 |
Combination Multiple Faults Diagnosis Method Applied to the Aero-engine Based on Improved Signed Directed Graph