**5. Conclusions**

This paper proposes a power transmission system disturbance detection method based on SLCVA*k*NN. The real industrial data collected from the field transformer station are applied to verify the proposed method. By investigating the application results, we can draw the following conclusions.


**Author Contributions:** Conceptualization, S.W. and X.D.; methodology, S.W. and Y.T.; software, Y.T. and X.D.; validation, Y.T. and L.W.; formal analysis, S.W. and Y.T.; investigation, Y.T. and P.S.; resources, L.W. and Q.C.; data curation, Y.T., L.W., and Q.C.; writing—original draft preparation, Y.T. and P.S.; writing—review and editing, S.W. and X.D.; visualization, L.W. and Q.C.; supervision, X.D.; project administration, X.D.; funding acquisition, X.D. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work was funded by the Shandong Provincial Natural Science Foundation (Grant No. ZR2020MF093), the Major Scientific and Technological Projects of CNPC (Grant No. ZD2019-183- 003), and the Fundamental Research Funds for the Central Universities (that is, the Opening Fund of National Engineering Laboratory of Offshore Geophysical and Exploration Equipment, Grant No. 20CX02310A).

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Not applicable.

**Conflicts of Interest:** The authors declare no conflict of interest.
