Data acquisition from machines with legacy system

Contention for leading the market in terms of productivity and quality drives the manufacturing companies to renew itself with new technologies frequently. With the advancement in automation, computer programming and networking, equipping legacy systems with data acquisition and monitoring applic...

Full description

Saved in:
Bibliographic Details
Main Author: Surendrakumar Madasamy Poosapandian
Other Authors: Wang Dan Wei
Format: Theses and Dissertations
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64835
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-64835
record_format dspace
spelling sg-ntu-dr.10356-648352023-07-04T15:46:41Z Data acquisition from machines with legacy system Surendrakumar Madasamy Poosapandian Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Data Contention for leading the market in terms of productivity and quality drives the manufacturing companies to renew itself with new technologies frequently. With the advancement in automation, computer programming and networking, equipping legacy systems with data acquisition and monitoring applications have been made possible. Collecting data from machines and using it to monitor machine's states have the advantage of detecting events happened in shop floor without the need for manual intervention as data collected manually may contain delayed and inaccurate information. This machine monitoring system is accomplished by acquiring data from different machines in shop floor using a network for local communication. In this project, ServBox, which provides a method for collecting data from many CNC machines, is used as a local server. The acquired data is pre-processed to suit the needs of processing at later stages and relationship between various parameters is analysed so as to formulate a data model for extracting information from the collected data. This project also discusses about using the extracted information for developing different monitoring applications. One application is to develop a system that automatically calculates machine's production efficiency through Overall Equipment Effectiveness (OEE) technique and monitor the reason behind idle state of the machines and using the same to identify non-productive activities (wastes) for the implementation of lean manufacturing. The other application is to develop a strategy for monitoring tool wear using information obtained from acquired data. User interface is designed and created to enable operator to view or update the machine statuses when needed. Master of Science (Computer Control and Automation) 2015-06-05T04:49:59Z 2015-06-05T04:49:59Z 2014 2014 Thesis http://hdl.handle.net/10356/64835 en 74 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Data
spellingShingle DRNTU::Engineering::Computer science and engineering::Data
Surendrakumar Madasamy Poosapandian
Data acquisition from machines with legacy system
description Contention for leading the market in terms of productivity and quality drives the manufacturing companies to renew itself with new technologies frequently. With the advancement in automation, computer programming and networking, equipping legacy systems with data acquisition and monitoring applications have been made possible. Collecting data from machines and using it to monitor machine's states have the advantage of detecting events happened in shop floor without the need for manual intervention as data collected manually may contain delayed and inaccurate information. This machine monitoring system is accomplished by acquiring data from different machines in shop floor using a network for local communication. In this project, ServBox, which provides a method for collecting data from many CNC machines, is used as a local server. The acquired data is pre-processed to suit the needs of processing at later stages and relationship between various parameters is analysed so as to formulate a data model for extracting information from the collected data. This project also discusses about using the extracted information for developing different monitoring applications. One application is to develop a system that automatically calculates machine's production efficiency through Overall Equipment Effectiveness (OEE) technique and monitor the reason behind idle state of the machines and using the same to identify non-productive activities (wastes) for the implementation of lean manufacturing. The other application is to develop a strategy for monitoring tool wear using information obtained from acquired data. User interface is designed and created to enable operator to view or update the machine statuses when needed.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Surendrakumar Madasamy Poosapandian
format Theses and Dissertations
author Surendrakumar Madasamy Poosapandian
author_sort Surendrakumar Madasamy Poosapandian
title Data acquisition from machines with legacy system
title_short Data acquisition from machines with legacy system
title_full Data acquisition from machines with legacy system
title_fullStr Data acquisition from machines with legacy system
title_full_unstemmed Data acquisition from machines with legacy system
title_sort data acquisition from machines with legacy system
publishDate 2015
url http://hdl.handle.net/10356/64835
_version_ 1772828737368227840