FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK

Liu Zhansheng; Wu Xinhua; Xia Songbo

Volume 12 Issue 3

Jul. 1997

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Liu Zhansheng, Wu Xinhua, Xia Songbo. FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK[J]. Journal of Aerospace Power, 1997, 12(3): 313-316,335.

Citation:

Liu Zhansheng, Wu Xinhua, Xia Songbo. FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK[J]. Journal of Aerospace Power, 1997, 12(3): 313-316,335.

Liu Zhansheng, Wu Xinhua, Xia Songbo. FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK[J]. Journal of Aerospace Power, 1997, 12(3): 313-316,335.

Citation:

Liu Zhansheng, Wu Xinhua, Xia Songbo. FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK[J]. Journal of Aerospace Power, 1997, 12(3): 313-316,335.

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FAULT DIAGNOSIS OF ROTATING MACHINERY USING BACK PROPAGATION NEURAL NETWORK

Power Engineering Dept.Harbin Institute of Technology, Harbin 150001

Received Date: 1996-05-01
Rev Recd Date: 1996-08-01
Publish Date: 1997-07-28

Abstract

Abstract

The faults of rub between rotor and stator,misalignment test rig of the shafting,and unbalance of the rotor are simulated at a compressor test rig.The normal vibration signals of the rotor and the signals of the various emerging faults are registered and sampled by an automatic signal proceessor.Then a new-developed back propagation neural network is employed to learn the fault diagnosis from the sampled faults and a new method for accelerating the learning speed has been proposed in this paper.
- Rotor,
- Neural networks,
- Fault diagnosis