Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = mining XLPE cables

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
16 pages, 5001 KB  
Article
A Comprehensive Operation Status Evaluation Method for Mining XLPE Cables
by Yanwen Wang, Peng Chen, Yanying Sun and Chen Feng
Sensors 2022, 22(19), 7174; https://doi.org/10.3390/s22197174 - 21 Sep 2022
Cited by 7 | Viewed by 1990
Abstract
At present, the online insulation monitoring and fault diagnosis of mining cables are extensively discussed, while their operation status assessment has not been deeply studied. Considering that mining cables are closely related to the safe and stable operation of coal mine power supply [...] Read more.
At present, the online insulation monitoring and fault diagnosis of mining cables are extensively discussed, while their operation status assessment has not been deeply studied. Considering that mining cables are closely related to the safe and stable operation of coal mine power supply systems, a comprehensive evaluation method including the Analytic Hierarchy Process (AHP), the membership cloud theory, and the D-S evidence theory is proposed in this paper in order to accurately assess the operation status of the mining XLPE cable. Firstly, the membership cloud is introduced to solve the index membership degree and the weights are calculated by an improved weight vector calculation method. Secondly, the conversion from the base layer indicator membership degree to the target layer trust degree is realized based on the D-S evidence theory. Then, the cable operation status is judged via the trust degree maximum and the distribution of conflict coefficients is further analyzed to warn the indicators with a bad status in the base layer. Finally, the feasibility of the proposed evaluation method is verified by a sufficient and detailed case analysis. Full article
(This article belongs to the Special Issue Advanced Sensing, Fault Diagnostics, and Structural Health Management)
Show Figures

Figure 1

Back to TopTop