ROSI: a mobile robot for inspection of belt conveyor

Faria, Henrique D.; Lizarralde, Fernando; Costa, Ramon R.; Andrade, Rafael; Silva, Thales H.; Pereira, Raphael F.S.; Barbosa, Evelyn S.; Rocha, Filipe Augusto Santos; Franca, André Stanzani; Freitas, Gustavo; Pessin, Gustavo

doi:10.1016/j.ifacol.2020.12.2723

Cited by 7 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although some companies propose "smart idlers" with embedded sensors, their replacement or installation of numerous additional sensors is not sufficient even in the case of wireless data transmission. Therefore, to avoid dangerous impacts on maintenance personnel during inspections in real working conditions of underground mines and to make inspections economically efficient, the special purpose robotic mobile platforms are under development [14,15,16,17]. Moving sensors were also studied and modelled in general [18].…”

Section: Introductionmentioning

confidence: 99%

Prospects of in-belt IMU sensors application for fault detection in mining conveyors

Zimroz

Krot

Szrek

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The belt conveyors of high power are the main transport in the industry, especially for mining enterprises. Since the total length of conveyors in the mines reaches several kilometres, the inspection of all idlers in harsh conditions is a challenge for maintenance personnel because the jamming of supporting idlers with damaged bearings causes belt overheating and subsequent fire. Conveyor belt breaking is also a serious trouble during continuous operation. In this research, the authors based on preliminary measurements are aiming to show that fault detection in belt conveyor idlers is quite possible to be conducted using a single or multiple small-size IMU (or other type thin sensors) placed directly on the belt or inside it. The information available from the IMU sensor is discussed in this paper. Transient signals are associated with the sensor passing each idler. Some methods for signals processing and possible diagnostic features extraction are presented.

show abstract