Local Sensor Validation
Current approaches to plant fault detection require an overall process model. This paper argues that a hierarchical scheme is more efficient in which the lowest level concentrates on validating the signals transmitted by individual sensors. Signals are described in terms of standard time-series mode...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
1989-06-01
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Series: | Measurement + Control |
Online Access: | https://doi.org/10.1177/002029408902200502 |
_version_ | 1819055392030720000 |
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author | S K Yung D W Clarke |
author_facet | S K Yung D W Clarke |
author_sort | S K Yung |
collection | DOAJ |
description | Current approaches to plant fault detection require an overall process model. This paper argues that a hierarchical scheme is more efficient in which the lowest level concentrates on validating the signals transmitted by individual sensors. Signals are described in terms of standard time-series models. A fault is defined by the signal's deviation from its expected behaviour and various signal processing techniques are described which detect these aberrations. |
first_indexed | 2024-12-21T13:06:47Z |
format | Article |
id | doaj.art-68cbd80ecba5432c84df1329f54510a4 |
institution | Directory Open Access Journal |
issn | 0020-2940 |
language | English |
last_indexed | 2024-12-21T13:06:47Z |
publishDate | 1989-06-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Measurement + Control |
spelling | doaj.art-68cbd80ecba5432c84df1329f54510a42022-12-21T19:02:59ZengSAGE PublishingMeasurement + Control0020-29401989-06-012210.1177/002029408902200502Local Sensor ValidationS K YungD W ClarkeCurrent approaches to plant fault detection require an overall process model. This paper argues that a hierarchical scheme is more efficient in which the lowest level concentrates on validating the signals transmitted by individual sensors. Signals are described in terms of standard time-series models. A fault is defined by the signal's deviation from its expected behaviour and various signal processing techniques are described which detect these aberrations.https://doi.org/10.1177/002029408902200502 |
spellingShingle | S K Yung D W Clarke Local Sensor Validation Measurement + Control |
title | Local Sensor Validation |
title_full | Local Sensor Validation |
title_fullStr | Local Sensor Validation |
title_full_unstemmed | Local Sensor Validation |
title_short | Local Sensor Validation |
title_sort | local sensor validation |
url | https://doi.org/10.1177/002029408902200502 |
work_keys_str_mv | AT skyung localsensorvalidation AT dwclarke localsensorvalidation |