Noise source identifying method for air-conditioner based on nervous network

A technology of neural network and recognition method, applied in the direction of biological neural network model, heating method, space heating and ventilation, etc., to achieve the effect of solving the noise problem of air conditioners, high robustness and intelligence, and improving quality

Inactive Publication Date: 2005-02-23
HISENSE HOME APPLIANCES GRP CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the above-mentioned shortcomings and propose a new neural network-based air conditioner noise source identification method, which makes the identification of the air conditioner noise source simple and easy, and provides a solution for improving the quality of the air conditioner and solving the air conditioner noise problem. guidance and help

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  • Noise source identifying method for air-conditioner based on nervous network
  • Noise source identifying method for air-conditioner based on nervous network

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Embodiment

[0018] The air conditioner noise source identification method based on neural network of the present invention comprises following three basic steps:

[0019] 1) State feature extraction

[0020] The first step of the present invention is to extract the state feature quantity of the mode. The state feature quantities are extracted from two air conditioners. The main noise sources of the two air conditioners are the compressor piping system and the fan system respectively. The two states of the air conditioner can be regarded as two operating modes of the air conditioner. The noise signals emitted by the air conditioner in the two modes are collected, and the spectrum analysis is carried out respectively. The center frequency of the 3-octave frequency band is from 25Hz to 4000Hz, and the spectral values ​​in different frequency bands are taken to form the feature vector in this mode.

[0021] In this embodiment, two main noise sources of the air conditioner are identified. D...

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Abstract

A neural network based detection of noise-source in air conditioner is carried out by: extracting dynamic characteristics; training neural network; and detecting noise source in air conditioner. It has distributive and parallel processing, non-linear mapping, self-adapting and robust error tolerance so as to be widely used in pattern identification, control optimization, intellectual data processing and fault diagnosis. Noises generated from different parts of air conditioner are detected in mode of neural network to determine effectively where a main noise exists with high robustness and intelligence. It can be used for noisy faults diagnosis of air conditioner or some electric appliance so as to qualify them.

Description

1. Technical field: [0001] The invention relates to a neural network (NN)-based noise source identification method for an air conditioner, which is used for the identification of the noise source of the air conditioner and the noise fault diagnosis of the air conditioner, and belongs to the noise source identification method of the air conditioner and the noise fault diagnosis method of the air conditioner Innovative Technology. 2. Background technology: [0002] As a household appliance that is closely related to people's lives, air conditioners have attracted more and more attention to their quality, especially the noise quality. The noise of an air conditioner is very complicated, and components such as compressors, pipelines, fans, and air ducts may all generate noise. To improve the noise quality of an air conditioner, the main source of noise must first be identified. The identification methods of noise sources mainly include subjective evaluation method, partial oper...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00G06N3/02
Inventor 刘元峰
Owner HISENSE HOME APPLIANCES GRP CO LTD
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