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Investigation into fault detection and diagnosis techniques
The early detection and diagnosis of faults in systems is one of the most important tasks assigned to the computers supervising these systems. The early indication of abrupt or incipient failures can assist in avoiding major system breakdowns and catastrophes, which could otherwise result in substan...
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| Format: | Thesis |
| Language: | English English |
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Department of Electrical Engineering
2026
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| _version_ | 1867613152915488768 |
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| access_status_str | Open Access |
| author | Patel, B |
| author2 | Braae, M |
| author_browse | Braae, M Patel, B |
| author_facet | Braae, M Patel, B |
| author_sort | Patel, B |
| collection | Thesis |
| description | The early detection and diagnosis of faults in systems is one of the most important tasks assigned to the computers supervising these systems. The early indication of abrupt or incipient failures can assist in avoiding major system breakdowns and catastrophes, which could otherwise result in substantial material damage and even human fatalities. Furthermore, these systems should be designed with the properties that any good fault detection and diagnosis scheme should incorporate. These properties include isolability, sensitivity, robustness, reliability, maintainability, survivability and the ability to be reconfigurable. From the beginning of process control, most practical systems have contained some form of fault detection and diagnosis. In the majority of these systems, the detection and diagnostic function is rather simple, being based on straight limit checking. The development of computational equipment has set the scene for the general application of more sophisticated and powerful methods. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/43275 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:31:35.974Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/43275 Investigation into fault detection and diagnosis techniques Patel, B Braae, M Electrical engineering fault detection fault diagnosis The early detection and diagnosis of faults in systems is one of the most important tasks assigned to the computers supervising these systems. The early indication of abrupt or incipient failures can assist in avoiding major system breakdowns and catastrophes, which could otherwise result in substantial material damage and even human fatalities. Furthermore, these systems should be designed with the properties that any good fault detection and diagnosis scheme should incorporate. These properties include isolability, sensitivity, robustness, reliability, maintainability, survivability and the ability to be reconfigurable. From the beginning of process control, most practical systems have contained some form of fault detection and diagnosis. In the majority of these systems, the detection and diagnostic function is rather simple, being based on straight limit checking. The development of computational equipment has set the scene for the general application of more sophisticated and powerful methods. 2026-05-22T09:17:52Z 2026-05-22T09:17:52Z 2000 2026-05-22T09:14:28Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/43275 en eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical engineering fault detection fault diagnosis Patel, B Investigation into fault detection and diagnosis techniques |
| thesis_degree_str | Master's |
| title | Investigation into fault detection and diagnosis techniques |
| title_full | Investigation into fault detection and diagnosis techniques |
| title_fullStr | Investigation into fault detection and diagnosis techniques |
| title_full_unstemmed | Investigation into fault detection and diagnosis techniques |
| title_short | Investigation into fault detection and diagnosis techniques |
| title_sort | investigation into fault detection and diagnosis techniques |
| topic | Electrical engineering fault detection fault diagnosis |
| url | http://hdl.handle.net/11427/43275 |
| work_keys_str_mv | AT patelb investigationintofaultdetectionanddiagnosistechniques |