基于改进D-S证据理论的航空发动机转子故障决策融合诊断研究

doi:10.7527/S1000-6893.2013.0313

Abstract

Abstract:

As the information measured by a single sensor can not reflect the working status of aero-engine rotors, bearings and gears accurately and completely, it is difficult to make vibration fault diagnosis based on it. In an attempt to solve this problem, several sensors are used to establish a sensor network. Thus, an aero-engine rotor decision fusion diagnosis based on multi-sensor information is proposed in this paper. However, information inconformity and conflict of different sensors is inevitable in a multi-sensor system, which is composed of five segments: signal measurement, signal pretreatment, feature extraction, fault diagnosis and decision fusion. A focused study is conducted on conflict evidence fusion failing of the Dempster-Shafer (D-S) evidence decision fusion method in the decision fusion segment. Through a cause analysis, improvement is proposed to avoid the "one ticket veto" phenomenon and ameliorate the weighted average evidence process. Based on the improvement, an improved D-S evidence fusion method is put forward, which is applied to the decision fusion diagnosis of a simulated aero-engine rotor vibration fault. The result shows that, when the diagnosis result of all sensors is conducted to realize decision fusion using the D-S evidence theory, the fusion result is more accurate and reliable than any single sensor result. The improved D-S evidence fusion method can overcome the failing brought by conflict evidence fusion. Consequently, a better fusion result can be achieved in both the evidence conflict and non-conflict situation. And holistic classification accuracy is higher than general D-S algorithm and PCR5 algorithm.

Key words: aero-engine, rotor, fault diagnosis, decision fusion, Dempster-Shafer theory, multi-sensor information

CLC Number:

V263.6

HU Jinhai, YU Zhiguo, ZHAI Xusheng, PENG Jingbo, REN Litong. Research of Decision Fusion Diagnosis of Aero-engine Rotor Fault Based on Improved D-S Theory[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(2): 436-443.

References

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Research of Decision Fusion Diagnosis of Aero-engine Rotor Fault Based on Improved D-S Theory

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