When the low-voltage distribution network breaks down, it needs to respond quickly, and the method of finding fault by manual line inspection is time-consuming and laborious. In order to solve the problem of lack of effective fault location method in low-voltage network, a fault location method based on distributed nodes is proposed. The method is based on the chaotic reflection method, set up multiple test points in the low voltage power grid, the real-time monitoring of power grids, power grid failure, contrast analysis of test results, the test point each test point is determined according to the principle of the shortest path with the shortest distance of fault point, set up by the recent test point measurements of potential fault branch collection, to determine the fault subnetwork, Then, multiple information sources in the fault subnetwork are fused to determine the specific fault branch, and the specific fault location is determined by the nearest test point. Finally, the fault detection and alarm system of the low-voltage distribution network is designed based on the power Internet of Things. Key technologies such as IED, LOLA wireless AD organization network and intelligent gateway are used to realize the collection, communication and intelligent research and judgment of global line information, and realtime monitoring and alarm reception of the mobile terminal are realized through the cloud platform.

To enhance the effectiveness of diagnosing axial bearing fault signals in moving trains, this study proposes a method that combines improved complementary set empirical modal decomposition and optimal minimum entropy deconvolutional adjustment. There are plans to develop a screening method based...