A refrigeration dehumidifier condition monitoring method based on genetic fuzzy C- mean clustering

The invention discloses a refrigeration dehumidifier condition monitoring method based on genetic fuzzy C- mean clustering, which includes the selection of equipment measurement parameters, the simulation of working conditions, the collection of data samples, the calculation of standard class center...

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Bibliographic Details
Main Authors LI HUI, MA CHANGLIN, LI FENG, HAO LIN, GAO YUNGUANG, DU WENZHENG
Format Patent
LanguageChinese
English
Published 08.03.2019
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses a refrigeration dehumidifier condition monitoring method based on genetic fuzzy C- mean clustering, which includes the selection of equipment measurement parameters, the simulation of working conditions, the collection of data samples, the calculation of standard class centers and the judgment of condition, thus realizing the condition monitoring of the dehumidifier. In thecalculation process of the standard class centers, an improved fuzzy C-mean clustering method based on a genetic algorithm is used and mainly embodies in two aspects that on the one hand, the geneticalgorithm is used to calculate the initial clustering number of the fuzzy C-mean clustering , which replaces the traditional manual selection method, reduces the influence of artificial subjective factors, and improves the accuracy and scientificity of cluster number selection; on the other hand, when the number of clusters is obtained, the genetic algorithm is used to calculate the clustering center, and the global optim
Bibliography:Application Number: CN201811261024