Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND
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Citation: Eric J. Manders and Pieter J. Mosterman and Gautam Biswas. (1999) Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND. In KSL-99-05, June,1999.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Eric J. Manders and Pieter J. Mosterman and Gautam Biswas |
| title | Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND |
| number | KSL-99-05 |
| institution | Knowledge Systems, AI Laboratory |
| address | Loch Awe, Scotland |
| year | 1999 |
| month | June |
| Bibtex more | |
| note | Tenth Intl. Workshop on Principles of Diagnosis |
| Access Paper | |
| abstract | Transcend, our system for monitoring and diagnosis of complex dynamic systems, uses qualitative transient analysis methods to overcome the difficulties that arise in numerical processing, especially for nonlinear systems. Future behavior of hypothesized faults is predicted in the form of signatures, and analyzed by a progressive monitoring scheme. Generating qualitative features from real signals, the signal to symbol transformation problem, is a challenging task. This paper discusses model-driven methods for generating symbolic feature descriptions of magnitude and slope changes in noisy continuous data. Experiments have been successfully conducted on faults introduced into the cooling system of an automobile engine. |
| KSL Technical Report ID: KSL-99-05 |
Facts about Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCENDRDF feed
| Abstract | Transcend, our system for monitoring and d … Transcend, our system for monitoring and diagnosis of complex dynamic systems, uses qualitative transient analysis methods to overcome the difficulties that arise in numerical processing, especially for nonlinear systems. Future behavior of hypothesized faults is predicted in the form of signatures, and analyzed by a progressive monitoring scheme. Generating qualitative features from real signals, the signal to symbol transformation problem, is a challenging task. This paper discusses model-driven methods for generating symbolic feature descriptions of magnitude and slope changes in noisy continuous data. Experiments have been successfully conducted on faults introduced into the cooling system of an automobile engine. he cooling system of an automobile engine. |
| Address | Loch Awe, Scotland + |
| Author | Eric J. Manders and Pieter J. Mosterman and Gautam Biswas + |
| Bibtype | techreport + |
| Has author | Eric J. Manders and Pieter J. Mosterman and Gautam Biswas + |
| Has identifier | KSL-99-05 + |
| Has publishing details | June,1999 + |
| Has title | Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND + |
| Has where published | KSL-99-05 + |
| Has year | 1999 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-99-05 + |
| Month | June + |
| Note | Tenth Intl. Workshop on Principles of Diagnosis |
| Number | KSL-99-05 + |
| Process note | NO + |
| Title | Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND + |
| Year | 1999 + |
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