Development of hardware system using temperature and vibration maintenance models integration concepts for conventional machines monitoring: a case study

Journal of Industrial Engineering International

دوره 12، شماره 1، خرداد 2016   

نویسندگان

Michael Kanisuru Adeyeri^{* 1}؛ Khumbulani Mpofu¹؛ Buliaminu Kareem²

¹Department of Industrial Engineering, Tshwane University of Technology, Pretoria, South Africa

²Department of Mechanical Engineering, The Federal University of Technology, Akure, Nigeria

چکیده

This article describes the integration of temperature and vibration models for maintenance monitoring of conventional machinery parts in which their optimal and best functionalities are affected by abnormal changes in temperature and vibration values thereby resulting in machine failures, machines breakdown, poor quality of products, inability to meeting customers’ demand, poor inventory control and just to mention a few. The work entails the use of temperature and vibration sensors as monitoring probes programmed in microcontroller using C language. The developed hardware consists of vibration sensor of ADXL345, temperature sensor of AD594/595 of type K thermocouple, microcontroller, graphic liquid crystal display, real time clock, etc. The hardware is divided into two: one is based at the workstation (majorly meant to monitor machines behaviour) and the other at the base station (meant to receive transmission of machines information sent from the workstation), working cooperatively for effective functionalities. The resulting hardware built was calibrated, tested using model verification and validated through principles pivoted on least square and regression analysis approach using data read from the gear boxes of extruding and cutting machines used for polyethylene bag production. The results got therein confirmed related correlation existing between time, vibration and temperature, which are reflections of effective formulation of the developed concept.

کلیدواژه‌ها

Maintenance model  Agent hardware؛ system  Conventional machines  Machine conditions؛ monitoring