IWO-ELM-based Aviation power converter fault diagnosis method

A power converter and fault diagnosis technology, which is applied to instruments, measuring electrical variables, measuring devices, etc., can solve problems such as slow training speed

Inactive Publication Date: 2016-05-25
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention proposes a fault diagnosis method for aviation power converters based on IWO-ELM. On the one hand, it solve

Method used

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  • IWO-ELM-based Aviation power converter fault diagnosis method
  • IWO-ELM-based Aviation power converter fault diagnosis method
  • IWO-ELM-based Aviation power converter fault diagnosis method

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Embodiment Construction

[0039] First collect the measurable node output signals of the aviation power converter in normal mode and fault mode, and use the principal component analysis method to extract the key features of the collected signals, construct a feature sample set, and then divide the feature sample set into training sample set and test The sample sets are used for the training and evaluation of the extreme learning machine respectively.

[0040] The specific operation steps are as follows:

[0041] 1) Obtain the measurable node output signals of the aeronautical power converter in normal mode and fault mode, use the principal component analysis method to extract the key features of the collected signals, construct a feature sample set, and divide the feature sample set into two parts: training samples Set A={(x i ,y i )|x i ∈ R n ,y i ∈ R m , i=1,...,N} and test sample set B={(x i ,y i )|x i ∈ R n ,y i ∈ R m , i=1,...,M}, wherein, R represents the real number space, x i is th...

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Abstract

The invention provides an aviation power converter fault diagnosis method based on an IWO (Invasive Weed Optimization, IWO for short) and an ELM (Extreme Learning Machine, ELM for short). The aviation power converter fault diagnosis method belongs to the field of circuit fault diagnosis, and comprises the steps of: 1) acquiring output signals of measurable nodes of an aviation power converter in a normal mode and a failure mode; 2) extracting key features of the signals by utilizing a PCA (Principal Component Analysis, PCA for short) method, and constructing a feature sample set; 3) dividing the feature sample set into a training sample set and a test sample set which are separately used for training and evaluation of the ELM; 4) dividing the training sample set into training data and test data, training the ELM by utilizing the training data, and optimizing hidden layer node number, input weight and hidden layer node bias by adopting the IWO, so that the ELM has an optimized classifier structure; 5) and applying the test sample set to evaluate the fault diagnostic function of the optimized ELM.

Description

technical field [0001] The invention relates to an IWO-ELM-based fault diagnosis method for an aviation power converter, belonging to the field of circuit fault diagnosis. Background technique [0002] With the continuous development of aviation technology, the current power supply systems onboard aircraft can be divided into the following three types: low-voltage DC power supply, high-voltage DC power supply and AC power supply. The normal operation of these power systems ensures the normal operation of the airborne equipment and the safe flight of the aircraft. The key module in the aviation power system is the power converter. Once the power converter fails, it will directly affect the normal operation of the aviation power system, which will pose a threat to the safe operation of the aircraft, and even cause huge loss of life, property and safety. Therefore, it is of great significance to study the fault diagnosis of the power converter in the aviation power system. ...

Claims

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Application Information

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IPC IPC(8): G01R31/00
Inventor 崔江叶纪青龚春英
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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