Helicopter rotor abnormity detecting method driven by vibration data

A technology of helicopter rotor and vibration data, which is applied in the interdisciplinary field of aeronautical engineering and information science, can solve the problems of high cost of fault simulation, inability to obtain a large amount of fault data in advance, and lack of other problems

Active Publication Date: 2016-09-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

In the real scene, considering that the unknown failure modes of the helicopter rotor are various and unpredictable, it is impossible to obtain a large amount of failure data in various states in advance; the data in the normal state is easy to obta

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  • Helicopter rotor abnormity detecting method driven by vibration data
  • Helicopter rotor abnormity detecting method driven by vibration data
  • Helicopter rotor abnormity detecting method driven by vibration data

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Embodiment Construction

[0016] The present invention will be further described below in conjunction with the accompanying drawings and related algorithms.

[0017] The overall process of the present invention is as figure 1 shown.

[0018] The invention detects the abnormality based on the vibration data of the helicopter, and uses a wavelet threshold value denoising method to denoise the vibration data. The empirical mode decomposition is used to obtain a limited number of intrinsic mode functions, and the singular value decomposition of the intrinsic mode function matrix is ​​performed to extract the state characteristics of the helicopter rotor. Using the support vector data description, a hypersphere is constructed according to the eigenvectors of the normal state of the helicopter to detect the abnormality of the rotor. Its specific implementation steps are as follows:

[0019] 1. Wavelet threshold denoising

[0020] The invention is applied to the vibration data of the helicopter rotor, and...

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Abstract

The invention discloses a helicopter rotor abnormity detecting method which comprises the steps of analyzing and processing original vibration data; extracting a helicopter rotor state characteristic; training a support vector data model by means of a rotor data characteristic in a normal state; and finally performing abnormity detection on the rotor according to the established model. The helicopter rotor abnormity detecting method is advantageous in that the effective fault characteristic is extracted for aiming at non-smooth and nonlinear vibration data; and on condition that only normal state data are available, the helicopter rotor abnormity detecting method according to the invention satisfies a requirement of abnormal characteristic data in a routine method.

Description

technical field [0001] The invention relates to a vibration data-driven helicopter rotor abnormality detection method, which is an abnormal detection method specially aimed at the helicopter rotor vibration data, and belongs to the cross field of aeronautical engineering and information science. Background technique [0002] As a lifting surface and a control surface, the rotor of a helicopter not only provides power for forward movement, but also a source of power for various attitude changes. The rotor system works in a periodically changing aerodynamic environment and bears complex aeroelastic loads, such as the unbalanced periodic alternating loads in the process of forward flight. What's more, the vibration load will cause fatigue damage to the important flight components of the helicopter, which will cause the rotor to fail and cause accidents. The rotor failure rate is as high as 20% in helicopter failures, and 35% of helicopter first-degree accidents are related to ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/06G06F2218/08G06F2218/12G06F18/2411
Inventor 皮德常何云
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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