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Collision signal identification method based on maximum entropy theory

A technology of collision signal and identification method, which is applied in the field of collision signal identification based on the maximum entropy theory, can solve the problem of undiscovered patent documents and other problems, and achieve the effect of accurate identification and avoidance of safety accidents

Pending Publication Date: 2020-01-10
TIANJIN UNIV
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[0006] Through the search of published patent documents, no published patent documents identical to this patent application have been found

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  • Collision signal identification method based on maximum entropy theory
  • Collision signal identification method based on maximum entropy theory
  • Collision signal identification method based on maximum entropy theory

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Embodiment Construction

[0047] The present invention will be described in further detail below through specific examples. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0048] A collision signal recognition method based on the maximum entropy theory, the innovation of which is that the steps of the recognition method are:

[0049] 1) Build a collision test detection system: the system includes a test piece 1, a projectile 2, a sensor 3, an amplifier 4, an acoustic emission instrument 5, and a computer 6. Sensors are distributed around the test piece, and the sensors are connected to the amplifier, which is connected to the An acoustic emission instrument, the acoustic emission instrument is connected to the computer, and the projectile with the initial velocity hits the test piece to generate a collision signal, and transmits the collision signal to four sensors, and the acoustic emission instrument collects the collision...

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Abstract

The invention relates to a collision signal identification method based on a maximum entropy theory. The collision signal identification method is characterized by comprising the following steps: 1) building a collision experiment detection system, 2) performing signal processing and feature extraction, and 3) building a maximum entropy model. The method is scientific and reasonable, time-frequency analysis is carried out on the frequency mixing signals, the known information and characteristic values of the collision signals are trained, the collision signals can be rapidly and accurately recognized, the collision position can be found and determined as soon as possible, and safety accidents caused by the fact that the existence of a damaged structure cannot be found in time are avoided.

Description

technical field [0001] The invention belongs to the technical field of nondestructive testing and relates to a collision signal recognition method based on the maximum entropy theory. Background technique [0002] Detecting, locating and quantifying initial damage to structures is of great importance in the fields of mechanical, aeronautical, aerospace and civil engineering. Structural damage assessment ensures the integrity of structures, which has great potential for life safety and economic benefits. Damage caused by external impact is an important problem in structural design. For example, aircraft are vulnerable to bird strikes, and orbiting vehicles are hit by space debris. To avoid catastrophic failure, it is critical to detect impact damage as soon as it occurs. However, this type of damage is sometimes an internal damage that is not easily seen, with no obvious signs of damage on the surface. [0003] These can be detected by non-destructive testing (NDT) techni...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01M7/08
CPCG01M7/08G06F2218/14G06F2218/08G06F18/214G06F18/241
Inventor 李一博王晢芮小博綦磊刘嘉玮
Owner TIANJIN UNIV
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