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Cable Subjected to Concentrated Loads

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Insulation coordination is the process of matching electric equipment's insulation strength with protective device characteristics to protect the equipment against expected overvoltages. This selection is based on engineering judgment and cost. Equipment can generally withstand short-duration high transient overvoltages, but repeated tests with identical waveforms can yield inconsistent results. As a result, standard impulse voltage waveforms are used for testing, defined by specific times...

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Related Experiment Video

Updated: Aug 25, 2025

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

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Published on: January 16, 2020

A Comprehensive Operation Status Evaluation Method for Mining XLPE Cables.

Yanwen Wang¹, Peng Chen¹, Yanying Sun¹

¹School of Mechanical, Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

Sensors (Basel, Switzerland)

|October 14, 2022

Summary

This summary is machine-generated.

This study introduces a new method for assessing the operational status of mining cables using Analytic Hierarchy Process (AHP), membership cloud, and D-S evidence theories. This approach enhances safety and stability in coal mine power systems.

Keywords:

D-S evidence theory membership cloud mining XLPE cables status evaluation

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Area of Science:

Electrical Engineering
Materials Science
Mining Engineering

Background:

Online insulation monitoring and fault diagnosis of mining cables are well-researched.
Operation status assessment for mining cables requires deeper investigation.
Mining cables are critical for safe and stable coal mine power supply systems.

Purpose of the Study:

To propose a comprehensive evaluation method for assessing the operational status of mining XLPE cables.
To accurately determine the health and reliability of mining cables in operation.

Main Methods:

Utilized Analytic Hierarchy Process (AHP) for weight calculation.
Employed membership cloud theory to determine index membership degrees.
Applied D-S evidence theory to convert membership degrees to trust degrees for status judgment.

Main Results:

Developed a method to assess mining cable operational status using combined theories.
Successfully converted base layer indicator membership degrees to target layer trust degrees.
Identified and analyzed conflict coefficients to flag underperforming indicators.

Conclusions:

The proposed comprehensive evaluation method accurately assesses mining cable operational status.
The method provides a reliable approach for ensuring the safety and stability of coal mine power systems.
Case analysis verified the feasibility and effectiveness of the developed evaluation technique.