http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112215286-A

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filingDate 2020-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8f56f9c7a2021e41fc5de8d61a699b52
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publicationDate 2021-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112215286-A
titleOfInvention Discrimination method of coal mill operating state based on wavelet decomposition and reconstruction and nearest neighbor algorithm
abstract A method and system for discriminating the operating state of a coal mill based on wavelet decomposition and reconstruction and a neighbor algorithm belong to the technical field of equipment state analysis and discrimination. Judgment; use the nearest neighbor algorithm based on the amount of coal feeding, and evaluate the state according to various parameters of the coal mill; use the parameters after wavelet decomposition and reconstruction and the wavelet decomposition and reconstruction parameters of each historical state to classify the nearest neighbor algorithm, determine Which type of historical parameter state is the same as the current parameter, and then realize the discriminant analysis of the coal mill state, which is used for grinding roller wear and mechanical fatigue caused by the long-term operation of the coal mill. Machine status, to provide a basis for making maintenance plans.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114492588-A
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Total number of triples: 25.