Design method for singular value decomposition and de-noising of rotating device fault signal

A singular value decomposition and fault signal technology, applied in the field of fault diagnosis research of rotating equipment, can solve problems that are difficult to master and require high experience, achieve high signal-to-noise ratio, good noise reduction effect, and improve operability and practicability Effect

Active Publication Date: 2014-05-21
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0004] How to determine the effective rank order of the singular value is one of the key technologies of this method. At present, the trial and error method and the average valve method are relatively used. However, these two methods require relatively high experience of the operator and are not easy master

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  • Design method for singular value decomposition and de-noising of rotating device fault signal

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[0066] 1. Simulation verification and analysis

[0067] In order to verify the effectiveness of the design method of singular value decomposition and noise reduction of rotating equipment fault signals of the present invention, the method is verified by loading noises of different energy decibels with signal sources of different frequencies. Now choose x(t) 1 and x(t) 2 The two signals are analyzed, and the efficiency and practicability of the method is measured by comparing the closeness of the spectrum and the signal-to-noise ratio of the signal after noise reduction and the signal before noise addition.

[0068] x(t) 1 =(1+0.6t)sin(80πt)+2cos(30πt)+ζ(n)

[0069] x(t) 2 ==5sin(3πt)+4sin(8πt)cos(2πt+3π)+8sin(8πt)+ζ(n)

[0070] Among them: ζ(n) represent the Gaussian white noise with intensity of 5dB and 15dB respectively.

[0071] The sampling length of the above two signal sources is 1024, and the number of Hankel matrix rows is 512. According to the singular value di...

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Abstract

The invention provides a design method for singular value decomposition and de-noising of a rotating device fault signal. The design method is characterized in that the design method comprises the content such as SVD de-noising, reconstruction of dimensions of a matrix, and determination of an effective rank order, the effective rank order of the reconstructed signal is determined by selecting at least the first single side and comparing the first single side with the adjacent peak values to find out the position of the point corresponding to the maximum peak value with the maximum difference absolute value, and therefore reconstruction of the useful signal and effective elimination of noise can be achieved. The design method for singular value decomposition and de-noising of the rotating device fault signal has the advantages that the singular value effective rank order de-noising value can be visually and effectively determined, complexity of the algorithm can be lowered, the de-noising effect is good, and the signal to noise ratio is high.

Description

technical field [0001] The invention relates to the research field of fault diagnosis of rotating equipment, and relates to a design method for singular value decomposition and noise reduction of fault signals of rotating equipment. Background technique [0002] Rotating equipment is an important mechanical equipment of a power plant, including steam turbines, fans, water pumps, motors, etc. The normal production and operation of a power plant is inseparable from rotating equipment, and its safe and stable operation is the key to efficient and economical operation of a power plant. When a rotating machine breaks down, it will always be accompanied by a certain state change. There are many abnormal states, among which vibration and noise are the most common. Since the production equipment is interrelated in the system, once a certain component fails, it will cause a chain reaction, which will not only damage the equipment itself and lose its intended function, but also seriou...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 张秀宇王建国黄俊峰
Owner NORTHEAST DIANLI UNIVERSITY
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