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Method and system for detecting device state based on working condition data

A technology for working condition data and detection equipment, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as affecting accuracy, inappropriate data preprocessing methods, and different health status contributions are not considered.

Inactive Publication Date: 2016-12-14
BEIJING AERONAUTIC SCI & TECH RES INST OF COMAC +1
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Problems solved by technology

[0007] The system simulation and test signals used in the existing three technical solutions are not aimed at civil aircraft QAR data, and their data preprocessing methods are not suitable for the characteristics of QAR data
In addition, in technical solutions 1, 2, and 3, single-parameter and multi-parameter self-organizing mapping modeling can be performed to obtain its health degree, but the processing method is to construct a parameter multi-dimensional vector as input, and does not consider the impact of different parameters on the system health status Contributions are different, which may affect the accuracy of the assessment

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  • Method and system for detecting device state based on working condition data
  • Method and system for detecting device state based on working condition data
  • Method and system for detecting device state based on working condition data

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Embodiment Construction

[0042] In order to make the purpose, method scheme and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and methods are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0043] It should be noted that the self-organizing map SOM (self-organizing map) is a competitive neural network proposed by Professor Kohonen, a neural network expert at the University of Helsinki in the Netherlands, in 1982, so it is also called Kohonen self-organizing feature map. It simulates the learning process of neuron cells in the brain and is an unsupervised learning method. While quantizing the data vector, the SOM a...

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Abstract

The invention discloses a method and system for detecting the device state based on working condition data, and belongs to the technical field of device health condition evaluation and prediction. The method comprises obtaining the working condition data of a device and the importance degree corresponding to each working condition data; carrying out normalization processing to the working condition data to obtain normalized working condition data; obtaining the health degree corresponding to the normalized working condition data by means of a health SOM model; and carrying out weighted fusion to the importance degree and the health degree of each working condition data in order to obtain the health degree of the device. The method for detecting the device state based on the working condition data solves the problem in the prior art that simulation data is employed to detect the device state, and there is a significant difference between the detected device state and the device state in practical application, furthermore, that the contribution degrees of different parameters to the device state are different is considered, and the health degree and the importance degree are subjected to weighted fusion to obtain the health degree of the device.

Description

[0001] method field [0002] The invention relates to the technical field of equipment health status evaluation and prediction, and in particular to a method and system for detecting equipment status based on working condition data. Background technique [0003] How to evaluate the health status of aircraft equipment and provide decision support for ground maintenance personnel to achieve condition-based maintenance is one of the research hotspots in the field of civil aircraft health management. At present, the health assessment of aircraft equipment is still in its infancy, and the few existing studies only use simulation data, which is far behind the actual engineering application. [0004] QAR (Quick Access Recorder, Quick Access Recorder) is a civil aircraft airborne flight data recording device, which is used to record the working condition data of the aircraft in daily operation. The QAR equipment is installed in the electronic cabin, which can continuously record the ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/088G06F18/2137
Inventor 王兆兵王轶刘志方崔世蒙
Owner BEIJING AERONAUTIC SCI & TECH RES INST OF COMAC
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