An online condition monitoring system implemented an internet connectivity and FTP for low speed slew bearing

W Caesarendra,Lwq Daryl,T Tjahjowidodo,D Pamungkas,B Kosasih,M Ariyanto

doi:10.1088/1742-6596/1007/1/012002

Abstract

Rapid and reliable information in slew bearing maintenance is not trivial issue. This paper presents the online monitoring system to assist maintenance engineer in order to monitor the bearing condition of low speed slew bearing in sheet metal company. The system is able to pass the vibration information from the place where the bearing and accelerometer sensors are attached to the data center; and from the data center it can be access by opening the online monitoring website from any place and by any person. The online monitoring system is built using some programming languages such as C language, MATLAB, PHP, HTML and CSS. Generally, the flow process is start with the automatic vibration data acquisition; then features are calculated from the acquired vibration data. These features are then sent to the data center; and form the data center, the vibration features can be seen through the online monitoring website. This online monitoring system has been successfully applied in School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong.

Highlights

Slew bearings have been developed as new machine parts in the past 30 years
The flo w process is start with the automatic vibrat ion data acquisition; features are calculated fro m the acquired vibration data. These features are sent to the data center; and form the data center, the vibration features can be seen through the online monitoring website
This online monitoring system has been successfully applied in School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong

Summary

Introduction

Slew bearings have been developed as new machine parts in the past 30 years. They were first used in excavators and cranes, and applied to others machines such as loading and unloading machines, transporting machines and material processing machines. The executable data acquisition program is written in C language and saves in the EXE format This is the advantage of PICO DAQ that it can be used for human interface and for automatic way. The automatic data acquisition will be used by running the executable file using Solway’s task scheduler shown in figure 4. The executable MATLAB program is created to do the six feature calculation This program runs automatically using Solway’s task scheduler approximately every 30 minutes after the automatic data acquisition as shown in figure 4. The illustration of automatic data acquisition, automatic feature calculation and online monitoring process are shown in figure 3. As automatic data acquisition will be carried out at two different times (day and night), the feature calculation filename will be consisting of two data name as well. Once the data on figure 5 saved and collected in the main PC, the data is transferred and sent to the web hosting through GoodSync as depicted in figure 6

Server

Conclusions