Title: Noise source identifying method for air-conditioner based on nervous network
Application Number: 200410027476 Application Date: 2004.06.04
Publication Number: 1584433 Publication Date: 2005.02.23
Approval Pub. Date: 2007.02.21 Granted Pub. Date: 2007.02.21
International Classifi-cation: F24F11/00;G06N3/02
Applicant(s) Name: Kelong Electrical Appliances Co., Ltd., Guangdong Address:
Inventor(s) Name: Liu Yuanfeng
Attorney & Agent: lin limeng
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.
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