 This research mainly studies the semi-supervised learning algorithm of different domain data in machine alfaction, also known as sensor drift compensation algorithm. Usually for this kind of problem, it is difficult to obtain better recognition results by directly using the semi-supervised learning algorithm. For this reason, we propose a domain transformation semi-supervised weighted kernel extreme learning machine, SOCELM algorithm, which converts the data through the domain and uses SWELM algorithmic classification to transform the semi-supervised classification problem of different domain data into a semi-supervised classification problem of the same domain data. This article was authored by C.U. Liu, Jialiangua, Sean Liu, and others.