Method of defining diagnostic features to monitor the condition of the belt conveyor gearbox with the use of the legged inspection robot

EasyChair Preprint 2300

Abstract

This paper presents the results of constructing the inspection robot serving as a tool to define the conditions of technical infrastructure in deep mine. The project has been conducted as the part of the European “THING - subTerranean Haptic INvestiGator” project. The challenge of managing the dispersed deep mine machine park in the conveyor transport network has been discussed in the paper. One of the functions of the inspection is to evaluate the technical condition of the conveyor gearbox. Thus, the haptic robot leg has been designed to perform non-invasive vibration measurements on the gearbox housing. The inspection robot has been designed to consequently perform the necessary monitoring processes currently performed by human, which proves to be troublesome in the mining industry worldwide. The aim of the paper is to suggest the complete method of collecting field measurements and defining diagnostic features based on time-frequency analysis. Such an approach would facilitate full mobility and automatization of defining diagnostic features process with the robot, what is crucial in the harsh mining conditions.

Keyphrases: Gearbox, Inspection robot, belt conveyor, condition monitoring, deep mine

@booklet{EasyChair:2300,
  author    = {Paweł Stefaniak and Sergii Anufriiev},
  title     = {Method of defining diagnostic features to monitor the condition of the belt conveyor gearbox with the use of the legged inspection robot},
  howpublished = {EasyChair Preprint 2300},
  year      = {EasyChair, 2020}}