Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC
A new approach for detecting and diagnosing fault via correlation technique is introduced in this study. The correlation coefficient is determined using multivariate analysis technique, Partial Correlation Analysis (PCorrA). Individual charting technique such as Shewhart, Exponential Weight Moving A...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.utm.my/5943/ http://eprints.utm.my/5943/1/NoorlisaHarun2004_FaultDetectionAndDiagnosisFDD.pdf |
| _version_ | 1848891158439133184 |
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| author | Harun, Noorlisa Ibrahim, Kamarul Asri |
| author_facet | Harun, Noorlisa Ibrahim, Kamarul Asri |
| author_sort | Harun, Noorlisa |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | A new approach for detecting and diagnosing fault via correlation technique is introduced in this study. The correlation coefficient is determined using multivariate analysis technique, Partial Correlation Analysis (PCorrA). Individual charting technique such as Shewhart, Exponential Weight Moving Average (EWMA), and Moving Average and Moving Range (MAMR) charts are a used to facilitate the Fault Detection and Diagnosis (FDD). A precut multi component distillation is used as the case study in this work. Based on the result from this study Shewhart control chart gives the best performance with the highest FDD efficiency. |
| first_indexed | 2025-11-15T20:53:31Z |
| format | Conference or Workshop Item |
| id | utm-5943 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:53:31Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-59432017-09-10T08:32:07Z http://eprints.utm.my/5943/ Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC Harun, Noorlisa Ibrahim, Kamarul Asri T Technology (General) A new approach for detecting and diagnosing fault via correlation technique is introduced in this study. The correlation coefficient is determined using multivariate analysis technique, Partial Correlation Analysis (PCorrA). Individual charting technique such as Shewhart, Exponential Weight Moving Average (EWMA), and Moving Average and Moving Range (MAMR) charts are a used to facilitate the Fault Detection and Diagnosis (FDD). A precut multi component distillation is used as the case study in this work. Based on the result from this study Shewhart control chart gives the best performance with the highest FDD efficiency. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/5943/1/NoorlisaHarun2004_FaultDetectionAndDiagnosisFDD.pdf Harun, Noorlisa and Ibrahim, Kamarul Asri (2004) Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC. In: 18th Symposium of Malaysian Chemical Engineers (SOMChe) 2004, 13 - 14 Dec. 2004, UTP, Perak, Malaysia. |
| spellingShingle | T Technology (General) Harun, Noorlisa Ibrahim, Kamarul Asri Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title | Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title_full | Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title_fullStr | Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title_full_unstemmed | Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title_short | Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC |
| title_sort | fault detection and diagnosis, fdd via improved univariate statistical process control charts, uspc |
| topic | T Technology (General) |
| url | http://eprints.utm.my/5943/ http://eprints.utm.my/5943/1/NoorlisaHarun2004_FaultDetectionAndDiagnosisFDD.pdf |