In order to solve the problem that the gas sensor diagnosis speed is slow and the diagnosis accuracy is nothigh,this paper takes the common type gas sensor fault such as impact,drift,bias and periodic fault as research ob-ject and proposes a pattern classification and identification of the fault diagnosis of gas sensor method based onneighborhood rough set(NRS)combined with support vector machine and extreme learning machine(SVM-ELM).First of all,normalize the feature attribute of the gas sensor,the reducti...
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