Method for extracting characteristic information of operating condition vibration signal of aircraft engine rotor system
A technology of aero-engine and feature information, which is applied to measuring devices, instruments, and measuring ultrasonic/sonic/infrasonic waves, etc. It can solve problems such as single diagnostic means and inability to efficiently, accurately, and quickly extract the feature information of the aero-engine rotor system. , to achieve the effect of improving accuracy and efficiency
Inactive Publication Date: 2013-03-06
NANCHANG HANGKONG UNIVERSITY
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[0005] These methods have contributed to the extraction of the characteristic information of the vibration signal of the aero-engine, but the single diagnostic method cannot extract the characteristic information of the working condition of the aero-engine rotor system efficiently, accurately and quickly, and fully reflect the operating state of the aero-engine rotor system
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[0023] The first step is to obtain the feature vector.
[0024] (1) The sampling frequency is selected as 2560Hz, and the number of sampling points is 512, and the vibration displacement signals of the rotor under the four fault operating states of unbalance, misalignment, rubbing and oil film whirl are respectively measured by the eddy current displacement sensor. ;
[0025] (2) Select the Daubechies wavelet basis function to perform continuous wavelet transformation on the signal;
[0026] (3) The range of the scale factor is an integer whose interval is 4 between [2, 30];
[0027] (4) Calculate the modulus of the coefficient of the continuous wavelet transform of the signal;
[0028] (5) Arrange the energy modes of the continuous wavelet transform of the signal according to the scale factor from small to large, and obtain the eigenvector corresponding to the rotor operating state.
[0029] (6) Repeat steps (1) to (4) to obtain three groups of eigenvectors of the rotor un...
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The invention relates to a method for extracting the characteristic information of an operating condition vibration signal of an aircraft engine rotor system. The method is characterized by comprising the following steps of: (1) measuring a vibration displacement signal through an eddy current displacement sensor; (2) performing wavelet transform to the signal, acquiring the energy modulus distribution condition of the signal along a scale axis, arranging the energy modulus distribution into a vector as a characteristic vector according to a scale sequence, assembling a plurality of characteristic vectors into an initial sample set Q, and calculating the characteristic vectors of the sample set Q, as a sample to be diagnosed; and (3) clustering the Q step by step according to a distance rule to obtain a clustering result, comparing the distance between the sample to be diagnosed and the initial sample to obtain the characteristic information of the operating condition vibration signal of the rotor system. The invention has the advantages of overcoming the defects of complex signal characteristic information extraction mode, unconspicuous characteristic information and the like of the single method, and increasing the accuracy and the efficiency of the operating state recognition of the aircraft engine rotor system; and the method can be applied to the operating condition monitoring, the intelligent diagnosis and the monitoring of the aircraft engine rotor system.
Description
technical field [0001] The invention relates to a method for extracting signal characteristic information, in particular to a method for extracting characteristic information of vibration signals of an aeroengine rotor system. Background technique [0002] The aircraft engine is the heart of the aircraft. It is the system with the highest failure rate, the most complicated adjustment and the largest maintenance workload in the aviation machinery equipment. The quality of its working status directly affects the safety, reliability and operation of the aircraft. Once the engine fails during operation, it may cause the aircraft to fail to fly normally, endanger personal safety, and cause significant social and economic losses. [0003] According to statistics, the failure rate of aero-engines accounts for about 30% of all aircraft failures. About 40% of the major flight accidents of aircraft due to mechanical reasons are caused by engine failure. Due to its own characterist...
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IPC IPC(8): G01H11/06
Inventor 刘晓波沈亮霓王志华孙康
Owner NANCHANG HANGKONG UNIVERSITY