Intelligent predictive monitoring system using fuzzy regression modeling

Critical machines failures are the reason for significant process downtime as well as costly repair work. Therefore, detecting early the degradation and faults will improve the reliability as well as reduce the cost of wasted time and repairs by enable carrying out maintenance only when needed. Even...

Full description

Saved in:
Bibliographic Details
Main Author: Pham, Nguyen Nguyen.
Other Authors: Ng Wee Keong
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/44385
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-44385
record_format dspace
spelling sg-ntu-dr.10356-443852023-03-03T21:03:47Z Intelligent predictive monitoring system using fuzzy regression modeling Pham, Nguyen Nguyen. Ng Wee Keong School of Computer Engineering A*STAR SIMTech Li Xiang DRNTU::Engineering::Computer science and engineering Critical machines failures are the reason for significant process downtime as well as costly repair work. Therefore, detecting early the degradation and faults will improve the reliability as well as reduce the cost of wasted time and repairs by enable carrying out maintenance only when needed. Eventually, it can enable a near zero loss for potential failures. Many approaches have been proposed for this tool condition monitoring and fault diagnosis area. Bachelor of Engineering (Computer Science) 2011-06-01T04:21:38Z 2011-06-01T04:21:38Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44385 en Nanyang Technological University 81 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
spellingShingle DRNTU::Engineering::Computer science and engineering
Pham, Nguyen Nguyen.
Intelligent predictive monitoring system using fuzzy regression modeling
description Critical machines failures are the reason for significant process downtime as well as costly repair work. Therefore, detecting early the degradation and faults will improve the reliability as well as reduce the cost of wasted time and repairs by enable carrying out maintenance only when needed. Eventually, it can enable a near zero loss for potential failures. Many approaches have been proposed for this tool condition monitoring and fault diagnosis area.
author2 Ng Wee Keong
author_facet Ng Wee Keong
Pham, Nguyen Nguyen.
format Final Year Project
author Pham, Nguyen Nguyen.
author_sort Pham, Nguyen Nguyen.
title Intelligent predictive monitoring system using fuzzy regression modeling
title_short Intelligent predictive monitoring system using fuzzy regression modeling
title_full Intelligent predictive monitoring system using fuzzy regression modeling
title_fullStr Intelligent predictive monitoring system using fuzzy regression modeling
title_full_unstemmed Intelligent predictive monitoring system using fuzzy regression modeling
title_sort intelligent predictive monitoring system using fuzzy regression modeling
publishDate 2011
url http://hdl.handle.net/10356/44385
_version_ 1759854780802400256