Paper Information

Journal:   JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL   MARCH 2016 , Volume 12 , Number 1; Page(s) 93 To 109.
 
Paper: 

DEVELOPMENT OF HARDWARE SYSTEM USING TEMPERATURE AND VIBRATION MAINTENANCE MODELS INTEGRATION CONCEPTS FOR CONVENTIONAL MACHINES MONITORING: A CASE STUDY

 
 
Author(s):  ADEYERI MICHAEL KANISURU*, MPOFU KHUMBULANI, KAREEM BULIAMINU
 
* DEPARTMENT OF INDUSTRIAL ENGINEERING, TSHWANE UNIVERSITY OF TECHNOLOGY, PRETORIA, SOUTH AFRICA
 
Abstract: 

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, vibrationand temperature, which are reflections of effective formulation of the developed concept.

 
Keyword(s): MAINTENANCE MODEL, AGENT HARDWARE SYSTEM, CONVENTIONAL MACHINES, MACHINE CONDITIONS MONITORING
 
References: 
 
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